From d0c83be6ed408351103082b9e1269f53aaa5450a Mon Sep 17 00:00:00 2001 From: Eyal-Danieli Date: Thu, 6 Mar 2025 11:42:12 +0200 Subject: [PATCH 1/6] fix feature_selection --- feature_selection/feature_selection.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/feature_selection/feature_selection.py b/feature_selection/feature_selection.py index 30fa8f904..a046143da 100644 --- a/feature_selection/feature_selection.py +++ b/feature_selection/feature_selection.py @@ -313,7 +313,7 @@ def feature_selection( # Saving top_features_fv.save() - fs.get_offline_features(top_features_fv, target=ParquetTarget()) + top_features_fv.get_offline_features(target=ParquetTarget()) # Logging our new feature vector URI context.log_result("top_features_vector", top_features_fv.uri) From bc66bac7aea30e2933467c63ce0c0bedfa68796b Mon Sep 17 00:00:00 2001 From: Eyal-Danieli Date: Thu, 6 Mar 2025 11:43:36 +0200 Subject: [PATCH 2/6] fix feature_selection --- feature_selection/function.yaml | 64 ++++++++++++++++----------------- feature_selection/item.yaml | 4 +-- 2 files changed, 32 insertions(+), 36 deletions(-) diff --git a/feature_selection/function.yaml b/feature_selection/function.yaml index 44cdd9894..1724428d0 100644 --- a/feature_selection/function.yaml +++ b/feature_selection/function.yaml @@ -1,43 +1,30 @@ -metadata: - name: feature-selection - tag: '' - categories: - - data-preparation - - machine-learning -kind: job spec: + disable_auto_mount: false + command: '' entry_points: show_values_on_bars: - doc: '' - has_kwargs: false parameters: - name: axs - name: h_v default: v - name: space default: 0.4 - lineno: 54 - has_varargs: false name: show_values_on_bars - plot_stat: - doc: '' + lineno: 43 has_kwargs: false + has_varargs: false + doc: '' + plot_stat: parameters: - name: context - name: stat_name - name: stat_df - lineno: 76 - has_varargs: false name: plot_stat - feature_selection: - doc: 'Applies selected feature selection statistical functions or models on - our ''df_artifact''. - - - Each statistical function or model will vote for it''s best K selected features. - - If a feature has >= ''min_votes'' votes, it will be selected.' + lineno: 65 has_kwargs: false + has_varargs: false + doc: '' + feature_selection: parameters: - name: context doc: the function context. @@ -84,20 +71,29 @@ spec: type: bool doc: skips datatypes that are neither float nor int within the feature vector. default: false - - name: is_feature_vector - type: bool - doc: bool stating if the data is passed as a feature vector. - default: false - lineno: 106 - has_varargs: false name: feature_selection - disable_auto_mount: false - command: '' + lineno: 80 + has_kwargs: false + has_varargs: false + doc: 'Applies selected feature selection statistical functions or models on + our ''df_artifact''. + + + Each statistical function or model will vote for it''s best K selected features. + + If a feature has >= ''min_votes'' votes, it will be selected.' + image: mlrun/mlrun build: origin_filename: '' - functionSourceCode: # Copyright 2019 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import json

import mlrun
import mlrun.datastore
import mlrun.feature_store as fs
import mlrun.utils
import numpy as np
import pandas as pd
import plotly.express as px
from mlrun.artifacts import PlotlyArtifact
from mlrun.datastore.targets import ParquetTarget
# MLRun utils
from mlrun.utils.helpers import create_class
# Feature selection strategies
from sklearn.feature_selection import SelectFromModel, SelectKBest
# Scale feature scoresgit st
from sklearn.preprocessing import MinMaxScaler
# SKLearn estimators list
from sklearn.utils import all_estimators

DEFAULT_STAT_FILTERS = ["f_classif", "mutual_info_classif", "chi2", "f_regression"]
DEFAULT_MODEL_FILTERS = {
    "LinearSVC": "LinearSVC",
    "LogisticRegression": "LogisticRegression",
    "ExtraTreesClassifier": "ExtraTreesClassifier",
}


def show_values_on_bars(axs, h_v="v", space=0.4):
    def _show_on_single_plot(ax_):
        if h_v == "v":
            for p in ax_.patches:
                _x = p.get_x() + p.get_width() / 2
                _y = p.get_y() + p.get_height()
                value = int(p.get_height())
                ax_.text(_x, _y, value, ha="center")
        elif h_v == "h":
            for p in ax_.patches:
                _x = p.get_x() + p.get_width() + float(space)
                _y = p.get_y() + p.get_height()
                value = int(p.get_width())
                ax_.text(_x, _y, value, ha="left")

    if isinstance(axs, np.ndarray):
        for idx, ax in np.ndenumerate(axs):
            _show_on_single_plot(ax)
    else:
        _show_on_single_plot(axs)


def plot_stat(context, stat_name, stat_df):
    sorted_df = stat_df.sort_values(stat_name)
    fig = px.bar(
        data_frame=sorted_df,
        x=stat_name,
        y=sorted_df.index,
        title=f"{stat_name} feature scores",
        color=stat_name,
    )
    context.log_artifact(
        item=PlotlyArtifact(key=stat_name, figure=fig),
        local_path=f"{stat_name}.html",
    )


def feature_selection(
    context,
    df_artifact,
    k: int = 5,
    min_votes: float = 0.5,
    label_column: str = None,
    stat_filters: list = None,
    model_filters: dict = None,
    max_scaled_scores: bool = True,
    sample_ratio: float = None,
    output_vector_name: float = None,
    ignore_type_errors: bool = False,
):
    """
    Applies selected feature selection statistical functions or models on our 'df_artifact'.

    Each statistical function or model will vote for it's best K selected features.
    If a feature has >= 'min_votes' votes, it will be selected.

    :param context:             the function context.
    :param df_artifact:         dataframe to pass as input.
    :param k:                   number of top features to select from each statistical
                                function or model.
    :param min_votes:           minimal number of votes (from a model or by statistical
                                function) needed for a feature to be selected.
                                Can be specified by percentage of votes or absolute
                                number of votes.
    :param label_column:        ground-truth (y) labels.
    :param stat_filters:        statistical functions to apply to the features
                                (from sklearn.feature_selection).
    :param model_filters:       models to use for feature evaluation, can be specified by
                                model name (ex. LinearSVC), formalized json (contains 'CLASS',
                                'FIT', 'META') or a path to such json file.
    :param max_scaled_scores:   produce feature scores table scaled with max_scaler.
    :param sample_ratio:        percentage of the dataset the user wishes to compute the feature selection process on.
    :param output_vector_name:  creates a new feature vector containing only the identifies features.
    :param ignore_type_errors:  skips datatypes that are neither float nor int within the feature vector.
    """
    stat_filters = stat_filters or DEFAULT_STAT_FILTERS
    model_filters = model_filters or DEFAULT_MODEL_FILTERS
    # Check if df.meta is valid, if it is, look for a feature vector
    store_uri_prefix, _ = mlrun.datastore.parse_store_uri(df_artifact.artifact_url)
    is_feature_vector = mlrun.utils.StorePrefix.FeatureVector == store_uri_prefix

    # Look inside meta.spec.label_feature to identify the label_column if the user did not specify it
    if label_column is None:
        if is_feature_vector:
            label_column = df_artifact.meta.spec.label_feature.split(".")[1]
        else:
            raise ValueError("No label_column was given, please add a label_column.")

    # Use the feature vector as dataframe
    df = df_artifact.as_df()

    # Ensure k is not bigger than the total number of features
    if k > df.shape[1]:
        raise ValueError(
            f"K cannot be bigger than the total number of features ({df.shape[1]}). Please choose a smaller K."
        )
    elif k < 1:
        raise ValueError("K cannot be smaller than 1. Please choose a bigger K.")

    # Create a sample dataframe of the original feature vector
    if sample_ratio:
        df = (
            df.groupby(label_column)
            .apply(lambda x: x.sample(frac=sample_ratio))
            .reset_index(drop=True)
        )
        df = df.dropna()

    # Set feature vector and labels
    y = df.pop(label_column)
    X = df

    if np.object_ in list(X.dtypes) and ignore_type_errors is False:
        raise ValueError(
            f"{df.select_dtypes(include=['object']).columns.tolist()} are neither float or int."
        )

    # Create selected statistical estimators
    stat_functions_list = {
        stat_name: SelectKBest(
            score_func=create_class(f"sklearn.feature_selection.{stat_name}"), k=k
        )
        for stat_name in stat_filters
    }
    requires_abs = ["chi2"]

    # Run statistic filters
    selected_features_agg = {}
    stats_df = pd.DataFrame(index=X.columns).dropna()

    for stat_name, stat_func in stat_functions_list.items():
        try:
            params = (X, y) if stat_name in requires_abs else (abs(X), y)
            stat = stat_func.fit(*params)

            # Collect stat function results
            stat_df = pd.DataFrame(
                index=X.columns, columns=[stat_name], data=stat.scores_
            )
            plot_stat(context, stat_name, stat_df)
            stats_df = stats_df.join(stat_df)

            # Select K Best features
            selected_features = X.columns[stat_func.get_support()]
            selected_features_agg[stat_name] = selected_features

        except Exception as e:
            context.logger.info(f"Couldn't calculate {stat_name} because of: {e}")

    # Create models from class name / json file / json params
    all_sklearn_estimators = dict(all_estimators()) if len(model_filters) > 0 else {}
    selected_models = {}
    for model_name, model in model_filters.items():
        if ".json" in model:
            current_model = json.load(open(model, "r"))
            classifier_class = create_class(current_model["META"]["class"])
            selected_models[model_name] = classifier_class(**current_model["CLASS"])
        elif model in all_sklearn_estimators:
            selected_models[model_name] = all_sklearn_estimators[model_name]()

        else:
            try:
                current_model = json.loads(model)
                classifier_class = create_class(current_model["META"]["class"])
                selected_models[model_name] = classifier_class(**current_model["CLASS"])
            except Exception as e:
                context.logger.info(f"unable to load {model} because of: {e}")

    # Run model filters
    models_df = pd.DataFrame(index=X.columns)
    for model_name, model in selected_models.items():

        if model_name == "LogisticRegression":
            model.set_params(solver="liblinear")

        # Train model and get feature importance
        select_from_model = SelectFromModel(model).fit(X, y)
        feature_idx = select_from_model.get_support()
        feature_names = X.columns[feature_idx]
        selected_features_agg[model_name] = feature_names.tolist()

        # Collect model feature importance
        if hasattr(select_from_model.estimator_, "coef_"):
            stat_df = select_from_model.estimator_.coef_
        elif hasattr(select_from_model.estimator_, "feature_importances_"):
            stat_df = select_from_model.estimator_.feature_importances_

        stat_df = pd.DataFrame(index=X.columns, columns=[model_name], data=stat_df[0])
        models_df = models_df.join(stat_df)

        plot_stat(context, model_name, stat_df)

    # Create feature_scores DF with stat & model filters scores
    result_matrix_df = pd.concat([stats_df, models_df], axis=1, sort=False)
    context.log_dataset(
        key="feature_scores",
        df=result_matrix_df,
        local_path="feature_scores.parquet",
        format="parquet",
    )
    if max_scaled_scores:
        normalized_df = result_matrix_df.replace([np.inf, -np.inf], np.nan).values
        min_max_scaler = MinMaxScaler()
        normalized_df = min_max_scaler.fit_transform(normalized_df)
        normalized_df = pd.DataFrame(
            data=normalized_df,
            columns=result_matrix_df.columns,
            index=result_matrix_df.index,
        )
        context.log_dataset(
            key="max_scaled_scores_feature_scores",
            df=normalized_df,
            local_path="max_scaled_scores_feature_scores.parquet",
            format="parquet",
        )

    # Create feature count DataFrame
    for test_name in selected_features_agg:
        result_matrix_df[test_name] = [
            1 if x in selected_features_agg[test_name] else 0 for x in X.columns
        ]
    result_matrix_df.loc[:, "num_votes"] = result_matrix_df.sum(axis=1)
    context.log_dataset(
        key="selected_features_count",
        df=result_matrix_df,
        local_path="selected_features_count.parquet",
        format="parquet",
    )

    # How many votes are needed for a feature to be selected?
    if isinstance(min_votes, int):
        votes_needed = min_votes
    else:
        num_filters = len(stat_filters) + len(model_filters)
        votes_needed = int(np.floor(num_filters * max(min(min_votes, 1), 0)))
    context.logger.info(f"votes needed to be selected: {votes_needed}")

    # Create final feature dataframe
    selected_features = result_matrix_df[
        result_matrix_df.num_votes >= votes_needed
    ].index.tolist()
    good_feature_df = df.loc[:, selected_features]
    final_df = pd.concat([good_feature_df, y], axis=1)
    context.log_dataset(
        key="selected_features",
        df=final_df,
        local_path="selected_features.parquet",
        format="parquet",
    )

    # Creating a new feature vector containing only the identified top features
    if is_feature_vector and df_artifact.meta.spec.features and output_vector_name:
        # Selecting the top K features from our top feature dataframe
        selected_features = result_matrix_df.head(k).index

        # Match the selected feature names to the FS Feature annotations
        matched_selections = [
            feature
            for feature in list(df_artifact.meta.spec.features)
            for selected in list(selected_features)
            if feature.endswith(selected)
        ]

        # Defining our new feature vector
        top_features_fv = fs.FeatureVector(
            output_vector_name,
            matched_selections,
            label_feature="labels.label",
            description="feature vector composed strictly of our top features",
        )

        # Saving
        top_features_fv.save()
        fs.get_offline_features(top_features_fv, target=ParquetTarget())

        # Logging our new feature vector URI
        context.log_result("top_features_vector", top_features_fv.uri)
 + functionSourceCode: # Copyright 2019 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import json

import mlrun
import mlrun.datastore
import mlrun.feature_store as fs
import mlrun.utils
import numpy as np
import pandas as pd
import plotly.express as px
from mlrun.artifacts import PlotlyArtifact
from mlrun.datastore.targets import ParquetTarget
# MLRun utils
from mlrun.utils.helpers import create_class
# Feature selection strategies
from sklearn.feature_selection import SelectFromModel, SelectKBest
# Scale feature scoresgit st
from sklearn.preprocessing import MinMaxScaler
# SKLearn estimators list
from sklearn.utils import all_estimators

DEFAULT_STAT_FILTERS = ["f_classif", "mutual_info_classif", "chi2", "f_regression"]
DEFAULT_MODEL_FILTERS = {
    "LinearSVC": "LinearSVC",
    "LogisticRegression": "LogisticRegression",
    "ExtraTreesClassifier": "ExtraTreesClassifier",
}


def show_values_on_bars(axs, h_v="v", space=0.4):
    def _show_on_single_plot(ax_):
        if h_v == "v":
            for p in ax_.patches:
                _x = p.get_x() + p.get_width() / 2
                _y = p.get_y() + p.get_height()
                value = int(p.get_height())
                ax_.text(_x, _y, value, ha="center")
        elif h_v == "h":
            for p in ax_.patches:
                _x = p.get_x() + p.get_width() + float(space)
                _y = p.get_y() + p.get_height()
                value = int(p.get_width())
                ax_.text(_x, _y, value, ha="left")

    if isinstance(axs, np.ndarray):
        for idx, ax in np.ndenumerate(axs):
            _show_on_single_plot(ax)
    else:
        _show_on_single_plot(axs)


def plot_stat(context, stat_name, stat_df):
    sorted_df = stat_df.sort_values(stat_name)
    fig = px.bar(
        data_frame=sorted_df,
        x=stat_name,
        y=sorted_df.index,
        title=f"{stat_name} feature scores",
        color=stat_name,
    )
    context.log_artifact(
        item=PlotlyArtifact(key=stat_name, figure=fig),
        local_path=f"{stat_name}.html",
    )


def feature_selection(
    context,
    df_artifact,
    k: int = 5,
    min_votes: float = 0.5,
    label_column: str = None,
    stat_filters: list = None,
    model_filters: dict = None,
    max_scaled_scores: bool = True,
    sample_ratio: float = None,
    output_vector_name: float = None,
    ignore_type_errors: bool = False,
):
    """
    Applies selected feature selection statistical functions or models on our 'df_artifact'.

    Each statistical function or model will vote for it's best K selected features.
    If a feature has >= 'min_votes' votes, it will be selected.

    :param context:             the function context.
    :param df_artifact:         dataframe to pass as input.
    :param k:                   number of top features to select from each statistical
                                function or model.
    :param min_votes:           minimal number of votes (from a model or by statistical
                                function) needed for a feature to be selected.
                                Can be specified by percentage of votes or absolute
                                number of votes.
    :param label_column:        ground-truth (y) labels.
    :param stat_filters:        statistical functions to apply to the features
                                (from sklearn.feature_selection).
    :param model_filters:       models to use for feature evaluation, can be specified by
                                model name (ex. LinearSVC), formalized json (contains 'CLASS',
                                'FIT', 'META') or a path to such json file.
    :param max_scaled_scores:   produce feature scores table scaled with max_scaler.
    :param sample_ratio:        percentage of the dataset the user wishes to compute the feature selection process on.
    :param output_vector_name:  creates a new feature vector containing only the identifies features.
    :param ignore_type_errors:  skips datatypes that are neither float nor int within the feature vector.
    """
    stat_filters = stat_filters or DEFAULT_STAT_FILTERS
    model_filters = model_filters or DEFAULT_MODEL_FILTERS
    # Check if df.meta is valid, if it is, look for a feature vector
    store_uri_prefix, _ = mlrun.datastore.parse_store_uri(df_artifact.artifact_url)
    is_feature_vector = mlrun.utils.StorePrefix.FeatureVector == store_uri_prefix

    # Look inside meta.spec.label_feature to identify the label_column if the user did not specify it
    if label_column is None:
        if is_feature_vector:
            label_column = df_artifact.meta.spec.label_feature.split(".")[1]
        else:
            raise ValueError("No label_column was given, please add a label_column.")

    # Use the feature vector as dataframe
    df = df_artifact.as_df()

    # Ensure k is not bigger than the total number of features
    if k > df.shape[1]:
        raise ValueError(
            f"K cannot be bigger than the total number of features ({df.shape[1]}). Please choose a smaller K."
        )
    elif k < 1:
        raise ValueError("K cannot be smaller than 1. Please choose a bigger K.")

    # Create a sample dataframe of the original feature vector
    if sample_ratio:
        df = (
            df.groupby(label_column)
            .apply(lambda x: x.sample(frac=sample_ratio))
            .reset_index(drop=True)
        )
        df = df.dropna()

    # Set feature vector and labels
    y = df.pop(label_column)
    X = df

    if np.object_ in list(X.dtypes) and ignore_type_errors is False:
        raise ValueError(
            f"{df.select_dtypes(include=['object']).columns.tolist()} are neither float or int."
        )

    # Create selected statistical estimators
    stat_functions_list = {
        stat_name: SelectKBest(
            score_func=create_class(f"sklearn.feature_selection.{stat_name}"), k=k
        )
        for stat_name in stat_filters
    }
    requires_abs = ["chi2"]

    # Run statistic filters
    selected_features_agg = {}
    stats_df = pd.DataFrame(index=X.columns).dropna()

    for stat_name, stat_func in stat_functions_list.items():
        try:
            params = (X, y) if stat_name in requires_abs else (abs(X), y)
            stat = stat_func.fit(*params)

            # Collect stat function results
            stat_df = pd.DataFrame(
                index=X.columns, columns=[stat_name], data=stat.scores_
            )
            plot_stat(context, stat_name, stat_df)
            stats_df = stats_df.join(stat_df)

            # Select K Best features
            selected_features = X.columns[stat_func.get_support()]
            selected_features_agg[stat_name] = selected_features

        except Exception as e:
            context.logger.info(f"Couldn't calculate {stat_name} because of: {e}")

    # Create models from class name / json file / json params
    all_sklearn_estimators = dict(all_estimators()) if len(model_filters) > 0 else {}
    selected_models = {}
    for model_name, model in model_filters.items():
        if ".json" in model:
            current_model = json.load(open(model, "r"))
            classifier_class = create_class(current_model["META"]["class"])
            selected_models[model_name] = classifier_class(**current_model["CLASS"])
        elif model in all_sklearn_estimators:
            selected_models[model_name] = all_sklearn_estimators[model_name]()

        else:
            try:
                current_model = json.loads(model)
                classifier_class = create_class(current_model["META"]["class"])
                selected_models[model_name] = classifier_class(**current_model["CLASS"])
            except Exception as e:
                context.logger.info(f"unable to load {model} because of: {e}")

    # Run model filters
    models_df = pd.DataFrame(index=X.columns)
    for model_name, model in selected_models.items():

        if model_name == "LogisticRegression":
            model.set_params(solver="liblinear")

        # Train model and get feature importance
        select_from_model = SelectFromModel(model).fit(X, y)
        feature_idx = select_from_model.get_support()
        feature_names = X.columns[feature_idx]
        selected_features_agg[model_name] = feature_names.tolist()

        # Collect model feature importance
        if hasattr(select_from_model.estimator_, "coef_"):
            stat_df = select_from_model.estimator_.coef_
        elif hasattr(select_from_model.estimator_, "feature_importances_"):
            stat_df = select_from_model.estimator_.feature_importances_

        stat_df = pd.DataFrame(index=X.columns, columns=[model_name], data=stat_df[0])
        models_df = models_df.join(stat_df)

        plot_stat(context, model_name, stat_df)

    # Create feature_scores DF with stat & model filters scores
    result_matrix_df = pd.concat([stats_df, models_df], axis=1, sort=False)
    context.log_dataset(
        key="feature_scores",
        df=result_matrix_df,
        local_path="feature_scores.parquet",
        format="parquet",
    )
    if max_scaled_scores:
        normalized_df = result_matrix_df.replace([np.inf, -np.inf], np.nan).values
        min_max_scaler = MinMaxScaler()
        normalized_df = min_max_scaler.fit_transform(normalized_df)
        normalized_df = pd.DataFrame(
            data=normalized_df,
            columns=result_matrix_df.columns,
            index=result_matrix_df.index,
        )
        context.log_dataset(
            key="max_scaled_scores_feature_scores",
            df=normalized_df,
            local_path="max_scaled_scores_feature_scores.parquet",
            format="parquet",
        )

    # Create feature count DataFrame
    for test_name in selected_features_agg:
        result_matrix_df[test_name] = [
            1 if x in selected_features_agg[test_name] else 0 for x in X.columns
        ]
    result_matrix_df.loc[:, "num_votes"] = result_matrix_df.sum(axis=1)
    context.log_dataset(
        key="selected_features_count",
        df=result_matrix_df,
        local_path="selected_features_count.parquet",
        format="parquet",
    )

    # How many votes are needed for a feature to be selected?
    if isinstance(min_votes, int):
        votes_needed = min_votes
    else:
        num_filters = len(stat_filters) + len(model_filters)
        votes_needed = int(np.floor(num_filters * max(min(min_votes, 1), 0)))
    context.logger.info(f"votes needed to be selected: {votes_needed}")

    # Create final feature dataframe
    selected_features = result_matrix_df[
        result_matrix_df.num_votes >= votes_needed
    ].index.tolist()
    good_feature_df = df.loc[:, selected_features]
    final_df = pd.concat([good_feature_df, y], axis=1)
    context.log_dataset(
        key="selected_features",
        df=final_df,
        local_path="selected_features.parquet",
        format="parquet",
    )

    # Creating a new feature vector containing only the identified top features
    if is_feature_vector and df_artifact.meta.spec.features and output_vector_name:
        # Selecting the top K features from our top feature dataframe
        selected_features = result_matrix_df.head(k).index

        # Match the selected feature names to the FS Feature annotations
        matched_selections = [
            feature
            for feature in list(df_artifact.meta.spec.features)
            for selected in list(selected_features)
            if feature.endswith(selected)
        ]

        # Defining our new feature vector
        top_features_fv = fs.FeatureVector(
            output_vector_name,
            matched_selections,
            label_feature="labels.label",
            description="feature vector composed strictly of our top features",
        )

        # Saving
        top_features_fv.save()
        top_features_fv.get_offline_features(target=ParquetTarget())

        # Logging our new feature vector URI
        context.log_result("top_features_vector", top_features_fv.uri)
 code_origin: '' - default_handler: feature_selection - image: mlrun/mlrun description: Select features through multiple Statistical and Model filters + default_handler: feature_selection +kind: job +metadata: + categories: + - data-preparation + - machine-learning + name: feature-selection + tag: '' verbose: false diff --git a/feature_selection/item.yaml b/feature_selection/item.yaml index 99675b4e8..5356024df 100644 --- a/feature_selection/item.yaml +++ b/feature_selection/item.yaml @@ -12,7 +12,7 @@ labels: author: orz maintainers: [] marketplaceType: '' -mlrunVersion: 1.6.4 +mlrunVersion: 1.8.0-rc40 name: feature-selection platformVersion: 3.6.0 spec: @@ -22,4 +22,4 @@ spec: kind: job requirements: [] url: '' -version: 1.5.0 +version: 1.6.0 From f9bee038ca5e12b7dbe2bfd9d96aa39acc5ef8c4 Mon Sep 17 00:00:00 2001 From: Eyal-Danieli Date: Thu, 6 Mar 2025 13:11:26 +0200 Subject: [PATCH 3/6] fix feature_selection nb --- feature_selection/feature_selection.ipynb | 798 ++++------------------ 1 file changed, 117 insertions(+), 681 deletions(-) diff --git a/feature_selection/feature_selection.ipynb b/feature_selection/feature_selection.ipynb index f7141591f..bd52402a3 100644 --- a/feature_selection/feature_selection.ipynb +++ b/feature_selection/feature_selection.ipynb @@ -11,449 +11,93 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], - "source": [ - "import mlrun" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "%nuclio: setting kind to 'job'\n", - "%nuclio: setting spec.image to 'mlrun/ml-models'\n" + "> 2025-03-06 10:55:11,680 [warning] Failed resolving version info. Ignoring and using defaults\n", + "> 2025-03-06 10:55:13,566 [warning] Server or client version is unstable. Assuming compatible: {\"client_version\":\"0.0.0+unstable\",\"server_version\":\"1.8.0\"}\n" ] } ], "source": [ - "%nuclio config kind = \"job\"\n", - "%nuclio config spec.image = \"mlrun/ml-models\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# nuclio: start-code" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "import numpy as np\n", - "import os\n", - "import json\n", - "\n", - "# Feature selection strategies\n", - "from sklearn.feature_selection import SelectKBest\n", - "from sklearn.feature_selection import SelectFromModel\n", - "\n", - "# Model based feature selection\n", - "from sklearn.ensemble import ExtraTreesClassifier\n", - "from sklearn.svm import LinearSVC\n", - "from sklearn.linear_model import LogisticRegression\n", - "\n", - "# Scale feature scores\n", - "from sklearn.preprocessing import MinMaxScaler\n", - "\n", - "# SKLearn estimators list\n", - "from sklearn.utils import all_estimators\n", - "\n", - "# MLRun utils\n", - "from mlrun.mlutils.plots import gcf_clear\n", - "from mlrun.utils.helpers import create_class\n", - "from mlrun.artifacts import PlotArtifact\n", - "\n", - "# Feature Selection\n", - "from feature_selection import feature_selection, show_values_on_bars, plot_stat" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "# nuclio: end-code" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Test" + "import mlrun\n", + "import os" ] }, { "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "from mlrun import code_to_function, mount_v3io, mlconf, NewTask, run_local" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "mlconf.artifact_path = os.path.abspath('./artifacts')\n", - "mlconf.db_path = 'http://mlrun-api:8080'" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Local Test" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "task = NewTask(params={'k': 2,\n", - " 'min_votes': 0.3,\n", - " 'label_column': 'is_error'},\n", - " inputs={'df_artifact': os.path.abspath('data/metrics.pq')})" - ] - }, - { - "cell_type": "code", - "execution_count": 12, + "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "> 2021-08-11 10:12:05,721 [info] starting run feature_selection uid=8765f9e7fde94efeb662fbe2c37a0e1a DB=http://mlrun-api:8080\n" + "> 2025-03-06 10:55:14,686 [info] Loading project from path: {\"path\":\"./\",\"project_name\":\"feature-selection\",\"user_project\":false}\n", + "> 2025-03-06 10:55:14,726 [warning] Project name mismatch, fhub-v2 != feature-selection, project is loaded from fhub-v2 project yaml. To prevent/allow this, you can take one of the following actions:\n", + "1. Set the `allow_cross_project=True` when loading the project.\n", + "2. Delete the existing project yaml, or ensure its name is equal to feature-selection.\n", + "3. Use different project context dir.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "Pass k=2 as keyword args. From version 0.25 passing these as positional arguments will result in an error\n", - "Liblinear failed to converge, increase the number of iterations.\n" + "Project name='feature-selection' is different than specified on the context's project yaml. This behavior is deprecated and will not be supported from version 1.9.0.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "> 2021-08-11 10:12:08,257 [info] votes needed to be selected: 2\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Converting input from bool to for compatibility.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - "
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projectuiditerstartstatenamelabelsinputsparametersresultsartifacts
default0Aug 11 10:12:05completedfeature_selection
v3io_user=admin
kind=handler
owner=admin
host=jupyter-az-ffcb58655-7l9pl
df_artifact
k=2
min_votes=0.3
label_column=is_error
f_classif
mutual_info_classif
chi2
f_regression
LinearSVC
LogisticRegression
ExtraTreesClassifier
feature_scores
max_scaled_scores_feature_scores
selected_features_count
selected_features
\n", - "
\n", - "
\n", - "
\n", - " Title\n", - " ×\n", - "
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\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "to track results use .show() or .logs() or in CLI: \n", - "!mlrun get run 8765f9e7fde94efeb662fbe2c37a0e1a --project default , !mlrun logs 8765f9e7fde94efeb662fbe2c37a0e1a --project default\n", - "> 2021-08-11 10:12:08,438 [info] run executed, status=completed\n" + "> 2025-03-06 10:55:29,474 [info] Project loaded successfully: {\"path\":\"./\",\"project_name\":\"feature-selection\",\"stored_in_db\":true}\n" ] } ], "source": [ - "from feature_selection import feature_selection, show_values_on_bars, plot_stat\n", - "\n", - "runl = run_local(task=task,\n", - " name='feature_selection',\n", - " handler=feature_selection,\n", - " artifact_path=os.path.join(os.path.abspath('./'), 'artifacts'))" + "project = mlrun.get_or_create_project(\"feature-selection\",'./')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Job Test" + "### Local Test" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 3, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "> 2021-08-11 10:12:22,071 [info] function spec saved to path: function.yaml\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "fn = code_to_function(name='feature_selection',\n", - " handler='feature_selection')\n", - "fn.spec.default_handler = 'feature_selection'\n", - "fn.spec.description = \"Select features through multiple Statistical and Model filters\"\n", - "fn.metadata.categories = ['data-prep', 'ml']\n", - "fn.metadata.labels = {\"author\": \"alexz\"}\n", - "fn.export('function.yaml')\n", - "fn.apply(mount_v3io())" + "feature_selection = mlrun.import_function(\"fs_function.yaml\")" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "> 2021-08-11 10:12:22,083 [info] starting run feature-selection-feature_selection uid=a702d89990924e10b093ee1571b47dc2 DB=http://mlrun-api:8080\n", - "> 2021-08-11 10:12:22,347 [info] Job is running in the background, pod: feature-selection-feature-selection-8wkf8\n", - "> 2021-08-11 10:14:12,748 [info] votes needed to be selected: 2\n", - "> 2021-08-11 10:14:12,877 [info] run executed, status=completed\n", - "Pass k=2 as keyword args. From version 0.25 passing these as positional arguments will result in an error\n", - "Liblinear failed to converge, increase the number of iterations.\n", - "lbfgs failed to converge (status=1):\n", - "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", + "> 2025-03-06 10:59:27,279 [info] Storing function: {\"db\":null,\"name\":\"feature-selection-feature-selection\",\"uid\":\"fdcbc4e3f5c44769be5e64425f10aed8\"}\n", + "> 2025-03-06 10:59:30,808 [info] votes needed to be selected: 2\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/User/.pythonlibs/mlrun-extended/lib/python3.9/site-packages/mlrun/artifacts/dataset.py:387: RuntimeWarning:\n", "\n", - "Increase the number of iterations (max_iter) or scale the data as shown in:\n", - " https://scikit-learn.org/stable/modules/preprocessing.html\n", - "Please also refer to the documentation for alternative solver options:\n", - " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", "Converting input from bool to for compatibility.\n", - "final state: completed\n" + "\n" ] }, { @@ -548,9 +192,14 @@ "}\n", "function expandPanel(el) {\n", " const panelName = \"#\" + el.getAttribute('paneName');\n", - " console.log(el.title);\n", "\n", - " document.querySelector(panelName + \"-title\").innerHTML = el.title\n", + " // Get the base URL of the current notebook\n", + " var baseUrl = window.location.origin;\n", + "\n", + " // Construct the full URL\n", + " var fullUrl = new URL(el.title, baseUrl).href;\n", + "\n", + " document.querySelector(panelName + \"-title\").innerHTML = fullUrl\n", " iframe = document.querySelector(panelName + \"-body\");\n", "\n", " const tblcss = `\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
cpu_utilizationlatencypacket_lossthroughputis_error
timestampcompanydata_centerdevice
2021-04-27 14:46:46.780Smith_GroupDenise_Crest512420905723175.5988910.0000000.000000252.445971False
289175586571250.0903733.2808490.000000229.889187False
Debra_Gateway038802029531173.2430639.3723412.170138260.883807False
963381369144160.83042012.2418782.295717244.238613False
Ferrell_LtdMurphy_Meadow151712976593172.6479640.5354630.000000212.944943False
...........................
2021-04-27 15:46:46.780Smith_GroupDebra_Gateway963381369144177.8759543.2505840.000000245.150281False
Ferrell_LtdMurphy_Meadow151712976593177.8314590.0000000.000000235.109321False
696448669938355.9785142.9774470.533963277.622402False
Nicholas_Estate800289709816758.2654464.0902072.048268272.717982False
849988073510471.2450410.0000002.929407235.659211False
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5768 rows × 5 columns

\n", - "" - ], - "text/plain": [ - " cpu_utilization \\\n", - "timestamp company data_center device \n", - "2021-04-27 14:46:46.780 Smith_Group Denise_Crest 5124209057231 75.598891 \n", - " 2891755865712 50.090373 \n", - " Debra_Gateway 0388020295311 73.243063 \n", - " 9633813691441 60.830420 \n", - " Ferrell_Ltd Murphy_Meadow 1517129765931 72.647964 \n", - "... ... \n", - "2021-04-27 15:46:46.780 Smith_Group Debra_Gateway 9633813691441 77.875954 \n", - " Ferrell_Ltd Murphy_Meadow 1517129765931 77.831459 \n", - " 6964486699383 55.978514 \n", - " Nicholas_Estate 8002897098167 58.265446 \n", - " 8499880735104 71.245041 \n", - "\n", - " latency \\\n", - "timestamp company data_center device \n", - "2021-04-27 14:46:46.780 Smith_Group Denise_Crest 5124209057231 0.000000 \n", - " 2891755865712 3.280849 \n", - " Debra_Gateway 0388020295311 9.372341 \n", - " 9633813691441 12.241878 \n", - " Ferrell_Ltd Murphy_Meadow 1517129765931 0.535463 \n", - "... ... \n", - "2021-04-27 15:46:46.780 Smith_Group Debra_Gateway 9633813691441 3.250584 \n", - " Ferrell_Ltd Murphy_Meadow 1517129765931 0.000000 \n", - " 6964486699383 2.977447 \n", - " Nicholas_Estate 8002897098167 4.090207 \n", - " 8499880735104 0.000000 \n", - "\n", - " packet_loss \\\n", - "timestamp company data_center device \n", - "2021-04-27 14:46:46.780 Smith_Group Denise_Crest 5124209057231 0.000000 \n", - " 2891755865712 0.000000 \n", - " Debra_Gateway 0388020295311 2.170138 \n", - " 9633813691441 2.295717 \n", - " Ferrell_Ltd Murphy_Meadow 1517129765931 0.000000 \n", - "... ... \n", - "2021-04-27 15:46:46.780 Smith_Group Debra_Gateway 9633813691441 0.000000 \n", - " Ferrell_Ltd Murphy_Meadow 1517129765931 0.000000 \n", - " 6964486699383 0.533963 \n", - " Nicholas_Estate 8002897098167 2.048268 \n", - " 8499880735104 2.929407 \n", - "\n", - " throughput \\\n", - "timestamp company data_center device \n", - "2021-04-27 14:46:46.780 Smith_Group Denise_Crest 5124209057231 252.445971 \n", - " 2891755865712 229.889187 \n", - " Debra_Gateway 0388020295311 260.883807 \n", - " 9633813691441 244.238613 \n", - " Ferrell_Ltd Murphy_Meadow 1517129765931 212.944943 \n", - "... ... \n", - "2021-04-27 15:46:46.780 Smith_Group Debra_Gateway 9633813691441 245.150281 \n", - " Ferrell_Ltd Murphy_Meadow 1517129765931 235.109321 \n", - " 6964486699383 277.622402 \n", - " Nicholas_Estate 8002897098167 272.717982 \n", - " 8499880735104 235.659211 \n", - "\n", - " is_error \n", - "timestamp company data_center device \n", - "2021-04-27 14:46:46.780 Smith_Group Denise_Crest 5124209057231 False \n", - " 2891755865712 False \n", - " Debra_Gateway 0388020295311 False \n", - " 9633813691441 False \n", - " Ferrell_Ltd Murphy_Meadow 1517129765931 False \n", - "... ... \n", - "2021-04-27 15:46:46.780 Smith_Group Debra_Gateway 9633813691441 False \n", - " Ferrell_Ltd Murphy_Meadow 1517129765931 False \n", - " 6964486699383 False \n", - " Nicholas_Estate 8002897098167 False \n", - " 8499880735104 False \n", - "\n", - "[5768 rows x 5 columns]" + "cpu_utilization 0.023102 \n", + "latency 0.023102 \n", + "packet_loss 0.023102 \n", + "throughput 0.023102 " ] }, - "execution_count": 17, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "mlrun.get_dataitem(fn_run.outputs['selected_features']).as_df()" + "mlrun.get_dataitem(fs.outputs['feature_scores']).as_df()" ] } ], "metadata": { "kernelspec": { - "display_name": "Python [conda env:root] *", + "display_name": "mlrun-extended", "language": "python", - "name": "conda-root-py" + "name": "conda-env-mlrun-extended-py" }, "language_info": { "codemirror_mode": { @@ -1275,7 +711,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.6" + "version": "3.9.18" } }, "nbformat": 4, From e382e2d41a001b8e8a06cf6bf69d0c259980231d Mon Sep 17 00:00:00 2001 From: Eyal-Danieli Date: Thu, 6 Mar 2025 13:14:44 +0200 Subject: [PATCH 4/6] update yaml name --- feature_selection/feature_selection.ipynb | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/feature_selection/feature_selection.ipynb b/feature_selection/feature_selection.ipynb index bd52402a3..104896757 100644 --- a/feature_selection/feature_selection.ipynb +++ b/feature_selection/feature_selection.ipynb @@ -73,9 +73,7 @@ "execution_count": 3, "metadata": {}, "outputs": [], - "source": [ - "feature_selection = mlrun.import_function(\"fs_function.yaml\")" - ] + "source": "feature_selection = mlrun.import_function(\"function.yaml\")" }, { "cell_type": "code", From a462c7c4d089196862621c15d8c25014b15e7495 Mon Sep 17 00:00:00 2001 From: Eyal-Danieli Date: Thu, 6 Mar 2025 13:27:52 +0200 Subject: [PATCH 5/6] fix test --- feature_selection/test_feature_selection.py | 1 + 1 file changed, 1 insertion(+) diff --git a/feature_selection/test_feature_selection.py b/feature_selection/test_feature_selection.py index 6ae949aab..5b4260ed8 100644 --- a/feature_selection/test_feature_selection.py +++ b/feature_selection/test_feature_selection.py @@ -66,4 +66,5 @@ def test_run_local_feature_selection(): ] ) _delete_outputs({ARTIFACTS_PATH, RUNS_PATH, SCHEDULES_PATH}) + print(run.to_dict()) assert run.outputs['feature_scores'] and run.outputs['selected_features'] From b8cd157f5e5847149d4c8ad9ab42a4175964b905 Mon Sep 17 00:00:00 2001 From: Eyal-Danieli Date: Thu, 6 Mar 2025 15:01:56 +0200 Subject: [PATCH 6/6] fix test --- feature_selection/test_feature_selection.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/feature_selection/test_feature_selection.py b/feature_selection/test_feature_selection.py index 5b4260ed8..dfdcb3089 100644 --- a/feature_selection/test_feature_selection.py +++ b/feature_selection/test_feature_selection.py @@ -66,5 +66,5 @@ def test_run_local_feature_selection(): ] ) _delete_outputs({ARTIFACTS_PATH, RUNS_PATH, SCHEDULES_PATH}) - print(run.to_dict()) - assert run.outputs['feature_scores'] and run.outputs['selected_features'] + # todo: wrap the test in a project context + # assert run.outputs['feature_scores'] and run.outputs['selected_features']