Pycmtensor

Latest version: v1.13.3

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0.6.4

Feat

- **scheduler.py**: add new scheduler (CyclicLR) for adaptive LR

Fix

- **project**: fix project metadata and ci
- **config**: loadout config from train() to configparser
- **utils**: fix TypeError check

0.5.0

Feat

- **config**: add PyCMTensorConfig class to store config settings
- **expressions**: add magic methods lt le gt le ne eq
- **config.py**: enable pre-writing of .aesararc config file on module load
- **models**: add method prob() to MNLogit to output prob slices
- **time_format**: enable logging of build and estimation time
- **results**: add Predict class to output probs or discrete choices
- **optimizers**: add AdaGram algorithm
- **Database**: add __getattr__ build-in type to Database
- **pycmtensor.py**: add model.output_choices to generate choices

Fix

- **statistics**: add small value to stderror calculation to address sqrt(0)
- **dependencies**: move ipywidgets and pydot to dependencies
- renamed .rst to .md fix FileNotFoundError
- **result**: print more verbose results and options
- **Database**: add name to shared_data
- **train**: model instance now load initiated model class (not input Class as argument)
- **Database**: set choiceVar to mandatory argument
- **PyCMTensor**: rename append_to_params to add_params for consistency
- **PyCMTensor**: new method to add regularizers to cost function
- **Expressions**: invokes different operator for Beta Beta maths
- show excluded data in model est. output
- **results**: standardized naming conventions in modules db->database
- **tqdm**: add arg in train() to enable notebook progressbar
- **swissmetro_test.ipynb**: update swissmetro example

Refactor

- **PyCMTensor**: refactoring models from pycmtensor.py
- **Database**: refactor(Database): refactoring database.py from pycmtensor.py
- **optimizers**: refactor base Optimizer class
- moved Beta Weights to expressions.py

Perf

- **shared_data**: improve iteration speed by implementing shared() on input data

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