Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.
MIT License
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Full Changelog: https://github.com/maxmekiska/imbrium/compare/v2.1.0...v3.0.0
Published by maxmekiska 12 months ago
Published by maxmekiska about 1 year ago
Published by maxmekiska about 1 year ago
Published by maxmekiska over 1 year ago
Published by maxmekiska over 1 year ago
Published by maxmekiska over 1 year ago
Published by maxmekiska over 1 year ago
Published by maxmekiska almost 2 years ago
added tests for new utils module
name changes of predictor classes:
univarstandard => univarpure
BasicMultStepUniVar => PureUni
univarhybrid => univarhybrid (unchanged)
HybridMultStepUniVar => HybridUni
multivarstandard => multivarpure
BasicMultSTepMultVar => PureMulti
multivarhybrid => multivarhybrid (unchanged)
HybridMultStepMultVar => HybridMulti
tox added
outsourced Binder demo notebook to https://github.com/maxmekiska/ImbriumTesting-Demo
new README.md
Published by maxmekiska about 2 years ago
0.1.8
Published by maxmekiska about 2 years ago
improved source code format
improved scaling selector mechanism
Published by maxmekiska about 2 years ago
Published by maxmekiska about 2 years ago
added getter methods for optimizer and model id
added more unit-tests
save_model method allows now to specify a customized path
Published by maxmekiska about 2 years ago
added keras native call-back feature to fit_model method
minor docstring changes
minor default value issues in fit_model method solved
Published by maxmekiska over 2 years ago
added model loss variable type
architecture layers can now be adjusted by defining the number of neurons and activation function type
improved docstrings
Published by maxmekiska over 2 years ago
Published by maxmekiska over 2 years ago
Initial release.