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Primitives for machine learning and data science.

Results 32 MLPrimitives issues
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* MLPrimitives version: 0.3.2 * Python version: 3.8 * Operating System: macOS ### Description Featuretools released new stable versions, reaching v1.0.0, would like to update MLPrimitives to add it into...

* MLPrimitives version: 0.2.5 * Python version: 3.6.9 * Operating System: Ubuntu 18.04.6 ### Description Is it possible to plot training and validation losses during the .fit() call? I saw...

* MLPrimitives version: 0.3.3.dev0 * Python version: 3.7.0 * Operating System: macOS ### Description Allow `ml.primitives.adapters.build_layer` to also recognize layers imported from `tensorflow.keras`. ### What I Did Current Version: ```...

`statsmodels` release v0.12.0 deprecated the `statsmodels.tsa.arima_model.ARIMA` model in favor of `statsmodels.tsa.arima.model.ARIMA`: https://github.com/statsmodels/statsmodels/blob/04f00006a7aeb1c93d6894caa420698400da6c33/statsmodels/tsa/arima_model.py#L35 We should adapt to this change before they release v0.13.0, which will fully remove the `arima_model` module: https://github.com/MLBazaar/MLPrimitives/blob/97ab03f1aa8164fb2ba58754489bfc840f47d9f9/mlprimitives/adapters/statsmodels.py#L2

internal improvement
approved

* MLPrimitives version: 0.3.0 * Python version: 3.6 ### Description The current version of MLPrimitives will automatically install tensorflow 2.3.4. This version will encounter the following issue: ```bach /usr/local/lib/python3.6/site-packages/keras/backend.py in...

* MLPrimitives version: * Python version: * Operating System: ### Description I wanted to use MLblocks on our system but I got a tensorflow versions error... Is there a chance...

* MLPrimitives version: * Python version: * Operating System: ### Description I wanted to use MLblocks on our system but I got a tensorflow versions error... Is there a chance...

Create the `mlblocks.MLPipeline` primitive to allow setting a whole pipeline as a single primitive. The primitive arguments will be the `mlblocks.MLPipeline` arguments, which means that the pipeline will be specified...

new primitives
approved

https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html

new primitives
approved