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river_flask_example.py
river_flask_example.py 1import flask
2app = flask.Flask(__name__)
34@app.route('/', methods=['GET'])
5def predict():
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Basic sktime classification example
Basic sktime classification example 1from sktime.datasets import load_arrow_head
2from sktime.classification.compose import TimeSeriesForestClassifier
3from sklearn.model_selection import train_test_split
4from sklearn.metrics import accuracy_score
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sliding_window_splitter_sktime_2.py
sliding_window_splitter_sktime_2.py 1cv = SlidingWindowSplitter(window_length=5, fh=[1, 2, 3], initial_window=10, step_length=3)
23n_splits = cv.get_n_splits(y)
4print(f"Number of Folds = {n_splits}")
5>> Number of Folds = 6
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sktime/sktime
sktime/sktime PublicA unified framework for machine learning with time series
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