Ejemplos de caltrack_hourly_fit_feature_processor en Python

Ejemplo n.º 1

def test_caltrack_hourly_fit_feature_processor(
    segmented_data,
    occupancy_lookup,
    occupied_temperature_bins,
    unoccupied_temperature_bins,
):
    result = caltrack_hourly_fit_feature_processor(
        "dec-jan-feb-weighted",
        segmented_data,
        occupancy_lookup,
        occupied_temperature_bins,
        unoccupied_temperature_bins,
    )
    assert list(result.columns) == [
        "meter_value",
        "hour_of_week",
        "bin_0_occupied",
        "bin_1_occupied",
        "bin_2_occupied",
        "bin_3_occupied",
        "bin_0_unoccupied",
        "bin_1_unoccupied",
        "bin_2_unoccupied",
        "weight",
    ]
    assert result.shape == (24, 10)
    assert round(result.sum().sum(), 2) == 5916.0

Ejemplo n.º 2

def segmented_design_matrices(segmented_data, occupancy_lookup,
                              temperature_bins):
    return {
        "dec-jan-feb-weighted":
        caltrack_hourly_fit_feature_processor("dec-jan-feb-weighted",
                                              segmented_data, occupancy_lookup,
                                              temperature_bins)
    }

Ejemplo n.º 3

Archivo: test_caltrack_hourly.py Proyecto: opentaps/eemeter

def segmented_design_matrices_nans(
    segmented_data_nans, occupancy_lookup_nans, temperature_bins_nans
):
    return {
        "dec-jan-feb-weighted": caltrack_hourly_fit_feature_processor(
            "dec-jan-feb-weighted",
            segmented_data_nans,
            occupancy_lookup_nans,
            temperature_bins_nans,
        ),
        "apr-may-jun-weighted": caltrack_hourly_fit_feature_processor(
            "apr-may-jun-weighted",
            segmented_data_nans,
            occupancy_lookup_nans,
            temperature_bins_nans,
        ),
    }

Ejemplo n.º 4

def segmented_design_matrices_single_mode(
    segmented_data,
    occupancy_lookup_zeroes,
    occupied_temperature_bins,
    unoccupied_temperature_bins,
):
    return {
        "dec-jan-feb-weighted":
        caltrack_hourly_fit_feature_processor(
            "dec-jan-feb-weighted",
            segmented_data,
            occupancy_lookup_zeroes,
            occupied_temperature_bins,
            unoccupied_temperature_bins,
        )
    }

Ejemplo n.º 5

def segmented_design_matrices_empty_models(
    segmented_data,
    occupancy_lookup,
    occupied_temperature_bins,
    unoccupied_temperature_bins,
):
    return {
        "dec-jan-feb-weighted":
        caltrack_hourly_fit_feature_processor(
            "dec-jan-feb-weighted",
            segmented_data[:0],
            occupancy_lookup,
            occupied_temperature_bins,
            unoccupied_temperature_bins,
        )
    }

Ejemplo n.º 6

Archivo: test_caltrack_hourly.py Proyecto: opentaps/eemeter

def test_caltrack_hourly_fit_feature_processor(
    segmented_data, occupancy_lookup, temperature_bins
):
    result = caltrack_hourly_fit_feature_processor(
        "dec-jan-feb-weighted", segmented_data, occupancy_lookup, temperature_bins
    )
    assert list(result.columns) == [
        "meter_value",
        "hour_of_week",
        "occupancy",
        "bin_0",
        "bin_1",
        "bin_2",
        "bin_3",
        "weight",
    ]
    assert result.shape == (24, 8)
    assert round(result.sum().sum(), 2) == 5928.0