Add parameter class #38
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zhengp0
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Jan 22, 2022
* Update data and prior classes (#36) * Add prior classes (#35) * Add component and validator to data (#33) * Add component and validator module * Switch validator functions to class * Improve the error message * Add docstring and update the documentation * Add test for data.component * Update the type check for validator inside the component * Add test for validator * Add data prototype class (#34) * Add data prototype class * Add test for data prototype * Update the documentaion for data prototype * Update the interface of old data class * Add prior class * Add tests for the prior class * Separate out the prior class and create spline prior getter * Add test for prior getter * Add docstrings and update documents * Remove the notebooks and add to gitignore * Rename of the test prior getter * Update the numpy requirement * Add variable class (#37) * Add initial design for the variable class * Fix issues for variable and add default params for prior * Add spline variable * Move all getters into the getter subpackage * Add protected variable class attribute '_prior_types' for type checking * Move get_prior_type and filter_priors into the utils module in prior subpackage * Add tests for the prior/utils * Add test for spline getter * Add test for variable class * Add test for spline variable * Add the test files * Add and test function combine_priors_params * Remove the combine_priors_params since it is not generalizable * Update docstring and the document * Add parameter class (#38) * Remove the variable classes in the parameter subpackage * Add initial design for parameter class * Add all regular port for parameter class * Add general get params function * Add smoothmap module in parameter subpackage * Add tests for the smoothmap * Add tests for the parameter class * Add docstring and update the document * Remove the old scripts * Remove the old script * Add model class and examples (#39) * Protect the get_prior_params functions in Parameter and expose the objective, gradient and hessian function from the prior * Store all gathered prior information in prior_dict * Add initial design for the model prototype * Implement the fit and predict function * Trun ModelPrototype into a abstract class * Add example data class * Add model example class * Add test for model prototype and model example * Add docstring and documentation for the model class * Remove class solver and bootstrap for cleaness * Update the documentation * Update the version and license date * Update version in the anml documentation
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