History

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.