Spaces:
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Daniel Varga
commited on
Commit
•
5711d94
1
Parent(s):
e79546e
batchh prediction and update does not work
Browse files- v2/test_predictor_sktime.py +24 -8
v2/test_predictor_sktime.py
CHANGED
@@ -14,18 +14,34 @@ from sktime.forecasting.model_evaluation import evaluate
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from sktime.utils.plotting import plot_series
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y = load_airline()
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cv = ExpandingWindowSplitter(
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step_length=
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print(df['y_pred'])
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@@ -43,7 +59,7 @@ fig, ax = plot_series(
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ax.legend()
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plt.show()
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y_train, y_test = temporal_train_test_split(y, test_size=len(y.index) // 2)
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from sktime.utils.plotting import plot_series
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from data_processing import read_datasets, add_production_field, interpolate_and_join, SolarParameters
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parameters = SolarParameters()
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met_2021_data, cons_2021_data = read_datasets()
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add_production_field(met_2021_data, parameters)
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all_data = interpolate_and_join(met_2021_data, cons_2021_data)
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all_data['y'] = all_data['Consumption']
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y = all_data[['y']]
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y = y[y.index <= '2021-01-20']
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print(len(y['y']), "data points read")
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# 5 mins timestep means:
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period = 12*24
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forecaster = NaiveForecaster(strategy="last", sp=period)
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# forecaster = AutoETS(auto=True, sp=period, n_jobs=-1)
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# forecaster = AutoARIMA(sp=period, suppress_warnings=True)
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cv = ExpandingWindowSplitter(
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step_length=period, fh=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], initial_window=period*10
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# step_length=period, fh=[1, 2], initial_window=period*2
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strategy = "no-update_params"
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df = evaluate(forecaster=forecaster, y=y, cv=cv, strategy=strategy, return_data=True)
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print(df['y_pred'])
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ax.legend()
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plt.show()
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exit()
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y_train, y_test = temporal_train_test_split(y, test_size=len(y.index) // 2)
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