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* add sklearn regressors as learners for ts_forecast task * add direct forecasting strategy warnings and errors for duplicate rows and missing values - add preprocess for sklearn time series forecast update automl.py update test/test_forecast.py * update model.py and test_forecast.py for cv eval_method * add "hcrystalball" dependency in setup.py * update automl.py - add _validate_ts_data function for abstraction - include xgb_limitdepth as a learner * update model.py - update search space for sklearn ts regressors * update automl.py and test_forecast.py for numpy array inputs * add documentations to model.py * add documentation for removing catboost regressor * update automl.py - _validate_ts_data() function Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>