Index

A

add_relationship() (in module mlprimitives.adapters.featuretools) ArgumentParser (class in mlprimitives.cli)

ARIMA (class in mlprimitives.adapters.statsmodels) AudioPadder (class in mlprimitives.candidates.audio_padding)

B

build_layer() (in module mlprimitives.adapters.keras)

C

calculate_feature_matrix() (mlprimitives.adapters.featuretools.DFS method) call() (mlprimitives.candidates.timeseries.cyclegan.RandomWeightedAverage method) CategoricalEncoder (class in mlprimitives.custom.feature_extraction) ClassDecoder (class in mlprimitives.custom.preprocessing) ClassEncoder (class in mlprimitives.custom.preprocessing) CommunityBestPartition (class in mlprimitives.adapters.community)

compute_output_shape() (mlprimitives.candidates.timeseries.cyclegan.RandomWeightedAverage method) count() (mlprimitives.custom.counters.Counter method) count_above() (in module mlprimitives.custom.timeseries_anomalies) count_features() (in module mlprimitives.custom.counters) Counter (class in mlprimitives.custom.counters) cutoff_window_sequences() (in module mlprimitives.custom.timeseries_preprocessing) CycleGAN (class in mlprimitives.candidates.timeseries.cyclegan)

D

data (mlprimitives.datasets.Dataset attribute) Dataset (class in mlprimitives.datasets) DatetimeFeaturizer (class in mlprimitives.custom.feature_extraction) decode() (mlprimitives.custom.preprocessing.ClassDecoder method) deltas() (in module mlprimitives.custom.timeseries_anomalies)

describe() (mlprimitives.datasets.Dataset method) description (mlprimitives.datasets.Dataset attribute) detect_language() (mlprimitives.custom.text.TextCleaner static method) DFS (class in mlprimitives.adapters.featuretools) dfs() (mlprimitives.adapters.featuretools.DFS method)

E

encode() (mlprimitives.custom.preprocessing.ClassEncoder method) energy() (in module mlprimitives.candidates.audio_featurization) energy_entropy() (in module mlprimitives.candidates.audio_featurization) entity_from_dataframe() (in module mlprimitives.adapters.featuretools) error() (mlprimitives.cli.ArgumentParser method) ESTIMATOR (mlprimitives.custom.feature_selection.EstimatorFeatureSelector attribute), [1] (mlprimitives.custom.feature_selection.ExtraTreesClassifierFeatureSelector attribute) (mlprimitives.custom.feature_selection.ExtraTreesRegressorFeatureSelector attribute) (mlprimitives.custom.feature_selection.LassoFeatureSelector attribute)

EstimatorFeatureSelector (class in mlprimitives.custom.feature_selection) ExtraTreesClassifierFeatureSelector (class in mlprimitives.custom.feature_selection) ExtraTreesRegressorFeatureSelector (class in mlprimitives.custom.feature_selection)

F

FeatureExtractor (class in mlprimitives.custom.feature_extraction) features (mlprimitives.adapters.featuretools.DFS attribute) featurize_audio() (in module mlprimitives.candidates.audio_featurization) featurize_segments() (in module mlprimitives.candidates.audio_featurization) FFT() (in module mlprimitives.candidates.audio_featurization) find_anomalies() (in module mlprimitives.custom.timeseries_anomalies) fit() (mlprimitives.adapters.keras.Sequential method) (mlprimitives.adapters.lightfm.LightFM method) (mlprimitives.candidates.audio_padding.AudioPadder method) (mlprimitives.candidates.dsp.SpectralMask method) (mlprimitives.candidates.timeseries.cyclegan.CycleGAN method) (mlprimitives.custom.feature_extraction.CategoricalEncoder method) (mlprimitives.custom.feature_extraction.FeatureExtractor method) (mlprimitives.custom.feature_extraction.OneHotLabelEncoder method) (mlprimitives.custom.feature_extraction.StringVectorizer method) (mlprimitives.custom.feature_selection.EstimatorFeatureSelector method) (mlprimitives.custom.preprocessing.ClassDecoder method) (mlprimitives.custom.preprocessing.ClassEncoder method) (mlprimitives.custom.preprocessing.RangeScaler method) (mlprimitives.custom.preprocessing.RangeUnscaler method) (mlprimitives.custom.text.TextCleaner method) (mlprimitives.custom.trivial.TrivialPredictor method)

fit_freq_min_max() (mlprimitives.candidates.dsp.SpectralMask method) fit_freq_std_dev() (mlprimitives.candidates.dsp.SpectralMask method) fit_transform() (mlprimitives.custom.feature_extraction.FeatureExtractor method) (mlprimitives.custom.feature_extraction.OneHotLabelEncoder method) (mlprimitives.custom.feature_selection.EstimatorFeatureSelector method)

G

GaussianBlur() (in module mlprimitives.adapters.cv2) get_columns() (mlprimitives.adapters.lightfm.LightFM method) get_context() (in module mlprimitives.evaluation) get_counts() (mlprimitives.custom.counters.Counter method) get_length() (mlprimitives.custom.trivial.TrivialPredictor method)

get_scorer() (in module mlprimitives.evaluation) get_splits() (mlprimitives.datasets.Dataset method) get_stopwords() (mlprimitives.custom.text.TextCleaner class method) get_value() (in module mlprimitives.evaluation) graph_feature_extraction() (in module mlprimitives.adapters.networkx) graph_pairs_feature_extraction() (in module mlprimitives.adapters.networkx)

H

hog() (in module mlprimitives.adapters.skimage)

I

image_transform() (in module mlprimitives.utils)

import_object() (in module mlprimitives.utils) intervals_to_mask() (in module mlprimitives.custom.timeseries_preprocessing)

L

LassoFeatureSelector (class in mlprimitives.custom.feature_selection) LightFM (class in mlprimitives.adapters.lightfm) load_amazon() (in module mlprimitives.datasets) load_boston() (in module mlprimitives.datasets) load_boston_multitask() (in module mlprimitives.datasets) load_census() (in module mlprimitives.datasets) load_dataset() (in module mlprimitives.datasets) load_dic28() (in module mlprimitives.datasets) load_handgeometry() (in module mlprimitives.datasets)

load_iris() (in module mlprimitives.datasets) load_jester() (in module mlprimitives.datasets) load_newsgroups() (in module mlprimitives.datasets) load_nomination() (in module mlprimitives.datasets) load_personae() (in module mlprimitives.datasets) load_primitive() (in module mlprimitives) load_reviews() (in module mlprimitives.datasets) load_umls() (in module mlprimitives.datasets) load_usps() (in module mlprimitives.datasets) load_wikiqa() (in module mlprimitives.datasets)

M

main() (in module mlprimitives.cli) mlprimitives (module) mlprimitives.adapters (module) mlprimitives.adapters.community (module) mlprimitives.adapters.cv2 (module) mlprimitives.adapters.featuretools (module) mlprimitives.adapters.keras (module) mlprimitives.adapters.lightfm (module) mlprimitives.adapters.networkx (module) mlprimitives.adapters.pandas (module) mlprimitives.adapters.skimage (module) mlprimitives.adapters.statsmodels (module) mlprimitives.candidates (module) mlprimitives.candidates.audio_featurization (module) mlprimitives.candidates.audio_padding (module)

mlprimitives.candidates.dsp (module) mlprimitives.candidates.timeseries (module) mlprimitives.candidates.timeseries.cyclegan (module) mlprimitives.cli (module) mlprimitives.custom (module) mlprimitives.custom.counters (module) mlprimitives.custom.feature_extraction (module) mlprimitives.custom.feature_selection (module) mlprimitives.custom.preprocessing (module) mlprimitives.custom.text (module) mlprimitives.custom.timeseries_anomalies (module) mlprimitives.custom.timeseries_preprocessing (module) mlprimitives.custom.trivial (module) mlprimitives.datasets (module) mlprimitives.evaluation (module) mlprimitives.utils (module)

N

name (mlprimitives.datasets.Dataset attribute)

next_power_of_2() (in module mlprimitives.candidates.dsp) np_aggregate() (in module mlprimitives.utils)

O

OneHotLabelEncoder (class in mlprimitives.custom.feature_extraction)

P

predict() (mlprimitives.adapters.keras.Sequential method) (mlprimitives.adapters.lightfm.LightFM method) (mlprimitives.adapters.statsmodels.ARIMA method) (mlprimitives.candidates.timeseries.cyclegan.CycleGAN method) (mlprimitives.custom.trivial.TrivialPredictor method)

produce() (mlprimitives.adapters.community.CommunityBestPartition method) (mlprimitives.candidates.audio_padding.AudioPadder method) (mlprimitives.candidates.dsp.SpectralMask method) (mlprimitives.custom.text.TextCleaner method)

R

rand_attr1() (in module mlprimitives.candidates.audio_featurization) RandomWeightedAverage (class in mlprimitives.candidates.timeseries.cyclegan) RangeScaler (class in mlprimitives.custom.preprocessing) RangeUnscaler (class in mlprimitives.custom.preprocessing) RE_ACCENTS (mlprimitives.custom.text.TextCleaner attribute)

RE_NON_ALNUM (mlprimitives.custom.text.TextCleaner attribute) RE_NON_ALPHA (mlprimitives.custom.text.TextCleaner attribute) RE_SYMBOLS (mlprimitives.custom.text.TextCleaner attribute) regression_errors() (in module mlprimitives.custom.timeseries_anomalies) resample() (in module mlprimitives.adapters.pandas) rolling_window_sequences() (in module mlprimitives.custom.timeseries_preprocessing)

S

scale() (mlprimitives.custom.preprocessing.RangeScaler method) score() (mlprimitives.datasets.Dataset method) score_anomalies() (in module mlprimitives.candidates.timeseries.cyclegan) score_pipeline() (in module mlprimitives.evaluation) selector (mlprimitives.custom.feature_selection.EstimatorFeatureSelector attribute) Sequential (class in mlprimitives.adapters.keras)

spectral_centroid_and_spread() (in module mlprimitives.candidates.audio_featurization) spectral_entropy() (in module mlprimitives.candidates.audio_featurization) spectral_flux() (in module mlprimitives.candidates.audio_featurization) spectral_rolloff() (in module mlprimitives.candidates.audio_featurization) SpectralMask (class in mlprimitives.candidates.dsp) STOPWORDS (mlprimitives.custom.text.TextCleaner attribute) StringVectorizer (class in mlprimitives.custom.feature_extraction)

T

target (mlprimitives.datasets.Dataset attribute) TextCleaner (class in mlprimitives.custom.text) time_segments_aggregate() (in module mlprimitives.custom.timeseries_preprocessing) time_segments_average() (in module mlprimitives.custom.timeseries_preprocessing)

transform() (mlprimitives.custom.feature_extraction.FeatureExtractor method) (mlprimitives.custom.feature_extraction.OneHotLabelEncoder method) (mlprimitives.custom.feature_selection.EstimatorFeatureSelector method) TrivialPredictor (class in mlprimitives.custom.trivial)

U

UniqueCounter (class in mlprimitives.custom.counters)

unscale() (mlprimitives.custom.preprocessing.RangeUnscaler method) unstack() (in module mlprimitives.adapters.pandas)

V

VocabularyCounter (class in mlprimitives.custom.counters)

W

window_design() (mlprimitives.candidates.dsp.SpectralMask method)

Z

z_cost() (in module mlprimitives.custom.timeseries_anomalies)

zcr() (in module mlprimitives.candidates.audio_featurization)