Releases | Open Source Science

causalnex - 0.12.1

Release 0.12.1

- Python
Published by GabrielAzevedoFerreiraQB over 2 years ago

causalnex - 0.12.0

Release 0.12.0

- Python
Published by GabrielAzevedoFerreiraQB almost 3 years ago

causalnex - 0.11.2

Release 0.11.2

- Python
Published by GabrielAzevedoFerreiraQB almost 3 years ago

causalnex - 0.11.1

Release 0.11.1

- Python
Published by GabrielAzevedoFerreiraQB about 3 years ago

Change log: * Add python 3.9, 3.10 support * Unlock Scipy restrictions * Fix bug: infinite loop on lv inference engine * Fix DAGLayer moving out of gpu during optimization step of Pytorch learning * Fix CPD comparison of floating point - rounding issue * Fix set_cpd for parentless nodes that are not MultiIndex * Add Docker files for development on a dockerized environment

- Python
Published by qbphilip over 3 years ago

causalnex - 0.11.0

Release 0.11.0

- Python
Published by benhorsburgh over 4 years ago

causalnex - v0.11.0

Changelog: * Add expectation-maximisation (EM) algorithm to learn with latent variables * Add a new tutorial on adding latent variable as well as identifying its candidate location * Allow users to provide self-defined CPD, as per #18 and #99 * Generalise the utility function to get Markov blanket and incorporate it within StructureModel (cf. #136) * Add a link to PyGraphviz installation guide under the installation prerequisites * Add GPU support to Pytorch implementation, as requested in #56 and #114 (some issues remain) * Add an example for structure model exporting into first causalnex tutorial, as per #124 and #129 * Fix infinite loop when querying InferenceEngine after a do-intervention that splits the graph into two or more subgraphs, as per #45 and #100 * Fix decision tree and mdlp discretisations bug when input data is shuffled * Fix broken URLs in FAQ documentation, as per #113 and #125 * Fix integer index type checking for timeseries data, as per #74 and #86 * Fix bug where inputs to the DAGRegressor/Classifier yielded different predictions between float and int dtypes, as per #140

- Python
Published by qbphilip over 4 years ago

causalnex - v0.10.0

Functionality: * Add BayesianNetworkClassifier an sklearn compatible class for fitting and predicting probabilities in a BN. * Add supervised discretisation strategies using Decision Tree and MDLP algorithms. * Support receiving a list of inputs for InferenceEngine with a multiprocessing option * Add utility function to extract Markov blanket from a Bayesian Network

Minor fixes and housekeeping: * Fix estimator issues with sklearn ("unofficial python 3.9 support", doesn't work with discretiser option) * Fixes cyclical import of causalnex.plots, as per #106. * Added manifest files to ensure requirements and licenses are packaged * Minor bumps in dependency versions, remove prettytable as dependency

- Python
Published by qbphilip almost 5 years ago

causalnex - 0.9.2

No functional changes.

Docs: * Remove Boston housing dataset from the "sklearn tutorial", see #91 for more information.

Development experience: * Update pylint version to 2.7 * Improve speed and non-stochasticity of tests

- Python
Published by qbphilip almost 5 years ago

causalnex - 0.9.1

Fixed bug where the sklearn tutorial documentation wasn't rendering.
Weaken pandas requirements to >=1.0, <2.0 (was ~=1.1).

- Python
Published by qbphilip about 5 years ago

causalnex - 0.9.0

Core changes * Add Python 3.8 support and drop 3.5. * Add pandas >=1.0 support, among other dependencies * PyTorch is now a full requirement * Extension of distribution types for structure learning * Bugfixes

- Python
Published by qbphilip about 5 years ago