Skip to content

Latest commit

 

History

History
331 lines (200 loc) · 12.8 KB

HISTORY.md

File metadata and controls

331 lines (200 loc) · 12.8 KB
Raw

History

0.4.0 - 2024-03-22

General Imporvements

  • Upgrade python versions 3.9, 3.10, and 3.11 - Issue #279 by @sarahmish
  • Adapt to statsmodels.tsa.arima_model.ARIMA deprecation

0.3.5 - 2023-04-14

General Imporvements

0.3.4 - 2023-01-24

General Imporvements

0.3.3 - 2023-01-20

General Imporvements

Adapter Improvements

  • Building model within fit in keras adapter- Issue #267 by @sarahmish

0.3.2 - 2021-11-09

Adapter Improvements

  • Inferring data shapes with single dimension for keras adapter - Issue #265 by @sarahmish

0.3.1 - 2021-10-07

Adapter Improvements

  • Dynamic target_shape in keras adapter - Issue #263 by @sarahmish
  • Save keras primitives in Windows environment - Issue #261 by @sarahmish

General Imporvements

  • Update TensorFlow and NumPy dependency - Issue #259 by @sarahmish

0.3.0 - 2021-01-09

New Primitives

  • Add primitive sklearn.naive_bayes.GaussianNB - Issue #242 by @sarahmish
  • Add primitive sklearn.linear_model.SGDClassifier - Issue #241 by @sarahmish

Primitive Improvements

  • Add offset to rolling_window_sequence primitive - Issue #251 by @skyeeiskowitz
  • Rename the time_index column to time - Issue #252 by @pvk-developer
  • Update featuretools dependency - Issue #250 by @pvk-developer

General Improvements

0.2.5 - 2020-07-29

Primitive Improvements

  • Accept timedelta window_size in cutoff_window_sequences - Issue #239 by @joanvaquer

Bug Fixes

  • ImportError: Keras requires TensorFlow 2.2 or higher. Install TensorFlow via pip install tensorflow - Issue #237 by @joanvaquer

New Primitives

  • Add pandas.DataFrame.set_index primitive - Issue #222 by @JDTheRipperPC

0.2.4 - 2020-01-30

New Primitives

  • Add RangeScaler and RangeUnscaler primitives - Issue #232 by @csala

Primitive Improvements

  • Extract input_shape from X in keras.Sequential - Issue #223 by @csala

Bug Fixes

  • mlprimitives.custom.text.TextCleaner fails if text is empty - Issue #228 by @csala
  • Error when loading the reviews dataset - Issue #230 by @csala
  • Curate dependencies: specify an explicit prompt-toolkit version range - Issue #224 by @csala

0.2.3 - 2019-11-14

New Primitives

  • Add primitive to make window_sequences based on cutoff times - Issue #217 by @csala
  • Create a keras LSTM based TimeSeriesClassifier primitive - Issue #218 by @csala
  • Add pandas DataFrame primitives - Issue #214 by @csala
  • Add featuretools.EntitySet.normalize_entity primitive - Issue #209 by @csala

Primitive Improvements

  • Make featuretools.EntitySet.entity_from_dataframe entityset arg optional - Issue #208 by @csala

  • Add text regression dataset - Issue #206 by @csala

Bug Fixes

  • pandas.DataFrame.resample crash when grouping by integer columns - Issue #211 by @csala

0.2.2 - 2019-10-08

New Primitives

  • Add primitives for GAN based time-series anomaly detection - Issue #200 by @AlexanderGeiger
  • Add numpy.reshape and numpy.ravel primitives - Issue #197 by @AlexanderGeiger
  • Add feature selection primitive based on Lasso - Issue #194 by @csala

Primitive Improvements

  • feature_extraction.CategoricalEncoder support dtype category - Issue #196 by @csala

0.2.1 - 2019-09-09

New Primitives

  • Timeseries Intervals to Mask Primitive - Issue #186 by @AlexanderGeiger
  • Add new primitive: Arima model - Issue #168 by @AlexanderGeiger

Primitive Improvements

  • Curate PCA primitive hyperparameters - Issue #190 by @AlexanderGeiger
  • Add option to drop rolling window sequences - Issue #186 by @AlexanderGeiger

Bug Fixes

  • scikit-image==0.14.3 crashes when installed on Mac - Issue #188 by @csala

0.2.0

New Features

  • Publish the pipelines as an entry_point Issue #175 by @csala

Primitive Improvements

  • Improve pandas.DataFrame.resample primitive Issue #177 by @csala
  • Improve feature_extractor primitives Issue #183 by @csala
  • Improve find_anomalies primitive Issue #180 by @AlexanderGeiger

Bug Fixes

  • Typo in the primitive keras.Sequential.LSTMTimeSeriesRegressor Issue #176 by @DanielCalvoCerezo

0.1.10

New Features

  • Add function to run primitives without a pipeline Issue #43 by @csala

New Pipelines

  • Add pipelines for all the MLBlocks examples Issue #162 by @csala

Primitive Improvements

  • Add Early Stopping to keras.Sequential.LSTMTimeSeriesRegressor primitive Issue #156 by @csala
  • Make FeatureExtractor primitives accept Numpy arrays Issue #165 by @csala
  • Add window size and pruning to the timeseries_anomalies.find_anomalies primitive Issue #160 by @csala

0.1.9

New Features

  • Add a single table binary classification dataset Issue #141 by @csala

New Primitives

  • Add Multilayer Perceptron (MLP) primitive for binary classification Issue #140 by @Hector-hedb12
  • Add primitive for Sequence classification with LSTM Issue #150 by @Hector-hedb12
  • Add VGG-like convnet primitive Issue #149 by @Hector-hedb12
  • Add Multilayer Perceptron (MLP) primitive for multi-class softmax classification Issue #139 by @Hector-hedb12
  • Add primitive to count feature matrix columns Issue #146 by @csala

Primitive Improvements

  • Add additional fit and predict arguments to keras.Sequential Issue #161 by @csala
  • Add suport for keras.Sequential Callbacks Issue #159 by @csala
  • Add fixed hyperparam to control keras.Sequential verbosity Issue #143 by @csala

0.1.8

New Primitives

  • mlprimitives.custom.timeseries_preprocessing.time_segments_average - Issue #137

New Features

  • Add target_index output in timseries_preprocessing.rolling_window_sequences - Issue #136

0.1.7

General Improvements

New Primitives

Bug Fixes

0.1.6

General Improvements

  • Add Contributing Documentation
  • Remove upper bound in pandas version given new release of featuretools v0.6.1
  • Improve LSTMTimeSeriesRegressor hyperparameters

New Primitives

  • mlprimitives.candidates.dsp.SpectralMask
  • mlprimitives.custom.timeseries_anomalies.find_anomalies
  • mlprimitives.custom.timeseries_anomalies.regression_errors
  • mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences
  • mlprimitives.custom.timeseries_preprocessing.time_segments_average
  • sklearn.linear_model.ElasticNet
  • sklearn.linear_model.Lars
  • sklearn.linear_model.Lasso
  • sklearn.linear_model.MultiTaskLasso
  • sklearn.linear_model.Ridge

0.1.5

New Primitives

  • sklearn.impute.SimpleImputer
  • sklearn.preprocessing.MinMaxScaler
  • sklearn.preprocessing.MaxAbsScaler
  • sklearn.preprocessing.RobustScaler
  • sklearn.linear_model.LinearRegression

General Improvements

  • Separate curated from candidate primitives
  • Setup entry_points in setup.py to improve compaitibility with MLBlocks
  • Add a test-pipelines command to test all the existing pipelines
  • Clean sklearn example pipelines
  • Change the author entry to a contributors list
  • Change the name of mlblocks_primitives folder
  • Pip install requirements_dev.txt fail documentation

Bug Fixes

  • Fix LSTMTimeSeriesRegressor primitive. Issue #90
  • Fix timeseries primitives. Issue #91
  • Negative index anomalies in timeseries_errors. Issue #89
  • Keep pandas version below 0.24.0. Issue #87

0.1.4

New Primitives

  • mlprimitives.timeseries primitives for timeseries data preprocessing
  • mlprimitives.timeseres_error primitives for timeseries anomaly detection
  • keras.Sequential.LSTMTimeSeriesRegressor
  • sklearn.neighbors.KNeighbors Classifier and Regressor
  • several sklearn.decomposition primitives
  • several sklearn.ensemble primitives

Bug Fixes

  • Fix typo in mlprimitives.text.TextCleaner primitive
  • Fix bug in index handling in featuretools.dfs primitive
  • Fix bug in SingleLayerCNNImageClassifier annotation
  • Remove old vlaidation tags from JSON annotations

0.1.3

New Features

  • Fix and re-enable featuretools.dfs primitive.

0.1.2

New Features

  • Add pipeline specification language and Evaluation utilities.
  • Add pipelines for graph, text and tabular problems.
  • New primitives ClassEncoder and ClassDecoder
  • New primitives UniqueCounter and VocabularyCounter

Bug Fixes

  • Fix TrivialPredictor bug when working with numpy arrays
  • Change XGB default learning rate and number of estimators

0.1.1

New Features

  • Add more keras.applications primitives.
  • Add a Text Cleanup primitive.

Bug Fixes

  • Add keywords to keras.preprocessing primtives.
  • Fix the image_transform method.
  • Add epoch as a fixed hyperparameter for keras.Sequential primitives.

0.1.0

  • First release on PyPI.