def test_ModelMetrics(sample_data):
series_one, series_two = sample_data
model_metrics = ModelMetrics(series_one, series_two, num_parameters=2)
assert model_metrics.observed_length == 5
assert model_metrics.predicted_length == 5
assert model_metrics.merged_length == 5
assert model_metrics.observed_mean == 3.0
assert model_metrics.predicted_mean == 2.8
assert round(model_metrics.observed_skew, 3) == 0.524
assert round(model_metrics.predicted_skew, 3) == 0.512
assert round(model_metrics.observed_kurtosis, 3) == -0.963
assert round(model_metrics.predicted_kurtosis, 3) == -0.612
assert round(model_metrics.observed_cvstd, 3) == 0.707
assert round(model_metrics.predicted_cvstd, 3) == 0.299
assert round(model_metrics.r_squared, 3) == 0.972
assert round(model_metrics.r_squared_adj, 3) == 0.944
assert round(model_metrics.cvrmse, 3) == 0.394
assert round(model_metrics.cvrmse_adj, 3) == 0.509
assert round(model_metrics.mape, 3) == 0.517
assert round(model_metrics.mape_no_zeros, 3) == 0.517
assert model_metrics.num_meter_zeros == 0
assert round(model_metrics.nmae, 3) == 0.333
assert round(model_metrics.nmbe, 3) == -0.067
assert round(model_metrics.autocorr_resid, 3) == -0.674
assert repr(model_metrics) is not None
assert json.dumps(model_metrics.json()) is not None
def test_ModelMetrics(sample_data):
series_one, series_two = sample_data
model_metrics = ModelMetrics(series_one, series_two, num_parameters=2)
test_sample_model_metrics(model_metrics)
assert repr(model_metrics) is not None
assert json.dumps(model_metrics.json()) is not None
def test_model_metrics_json_covert(sample_data):
series_one, series_two = sample_data
model_metrics = ModelMetrics(series_one, series_two, num_parameters=2)
json_rep = model_metrics.json()
test_sample_model_metrics(ModelMetrics.from_json(json_rep))