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* add forecasting code * add statsmodel * sort import * sort import fix * fixing black * sort requirement * optimize code * try with limited data * sort again * sort fix * sort fix * delete warning and black * add code for forecasting * use black * add more hints to describe * add doctest * finding whitespace * fixing doctest * delete * revert back * revert back * revert back again * revert back again * revert back again * try trimming whitespace * try adding doctypeand etc * fixing reviews * deleting all the space * fixing the build * delete x * add description for safety checker * deleting subscription integer * fix docthint * make def to use function parameters and return values * make def to use function parameters and return values * type hints on data safety checker * optimize code * Update run.py Co-authored-by: FVFYK3GEHV22 <fvfyk3gehv22@FVFYK3GEHV22s-MacBook-Pro.local> Co-authored-by: Christian Clauss <cclauss@me.com> |
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| .. | ||
| forecasting | ||
| lstm | ||
| __init__.py | ||
| astar.py | ||
| data_transformations.py | ||
| decision_tree.py | ||
| gaussian_naive_bayes.py | ||
| gradient_boosting_regressor.py | ||
| gradient_descent.py | ||
| k_means_clust.py | ||
| k_nearest_neighbours.py | ||
| knn_sklearn.py | ||
| linear_discriminant_analysis.py | ||
| linear_regression.py | ||
| logistic_regression.py | ||
| multilayer_perceptron_classifier.py | ||
| polymonial_regression.py | ||
| random_forest_classifier.py | ||
| random_forest_regressor.py | ||
| scoring_functions.py | ||
| sequential_minimum_optimization.py | ||
| support_vector_machines.py | ||
| word_frequency_functions.py | ||