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reduce strictness of the lower threshold to below 0
This commit is contained in:
Michael Duong
parent
6921f7d2a9
commit
8cfe43b22d
2 changed files with 36 additions and 36 deletions
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@ -47,23 +47,23 @@ def remove_top_1_percent_heat_demand_starting(df):
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return df
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def remove_bottom_1_percent_heat_demand_starting(df):
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def remove_negative_heat_demand_starting(df):
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# threshold_value = df.describe(percentiles=[0.99])['HEAT_DEMAND_STARTING']['99%']
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threshold_value = 137
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threshold_value = 0
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df = df[df["heat_demand_starting"] > threshold_value]
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return df
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def remove_top_1_percent_heat_demand_ending(df):
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# threshold_value = df.describe(percentiles=[0.99])['HEAT_DEMAND_STARTING']['99%']
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threshold_value = 593
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df = df[df["heat_demand_ending"] < threshold_value]
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return df
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# def remove_top_1_percent_heat_demand_ending(df):
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# # threshold_value = df.describe(percentiles=[0.99])['HEAT_DEMAND_STARTING']['99%']
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# threshold_value = 593
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# df = df[df["heat_demand_ending"] < threshold_value]
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# return df
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def remove_bottom_1_percent_heat_demand_ending(df):
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def remove_negative_heat_demand_ending(df):
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# threshold_value = df.describe(percentiles=[0.99])['HEAT_DEMAND_STARTING']['99%']
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threshold_value = 70
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threshold_value = 0
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df = df[df["heat_demand_ending"] > threshold_value]
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return df
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@ -88,9 +88,9 @@ business_logic = {
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"keep_negative_heat_change": keep_negative_heat_change,
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"keep_negative_carbon_change": keep_negative_carbon_change,
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"remove_top_1_percent_heat_demand": remove_top_1_percent_heat_demand_starting,
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"remove_bottom_1_percent_heat_demand": remove_bottom_1_percent_heat_demand_starting,
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"remove_top_1_percent_heat_demand_ending": remove_top_1_percent_heat_demand_ending,
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"remove_bottom_1_percent_heat_demand_ending": remove_bottom_1_percent_heat_demand_ending,
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"remove_negative_heat_demand_starting": remove_negative_heat_demand_starting,
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# "remove_top_1_percent_heat_demand_ending": remove_top_1_percent_heat_demand_ending,
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"remove_negative_heat_demand_ending": remove_negative_heat_demand_ending,
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"remove_top_1_percent_carbon": remove_top_1_percent_carbon,
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# "remove_starting_columns": remove_starting_columns
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# "keep_ENDING_COLUMNS": keep_ending_columns
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@ -49,8 +49,8 @@ stages:
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outs:
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- path: data/prepared_data/
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hash: md5
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md5: 083fceee99ad873f2e248d8b9839d385.dir
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size: 35914893
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md5: 63af74a6d808f37d7ab0010300e3f6bf.dir
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size: 37110480
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nfiles: 2
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build_model:
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cmd: python 2_build_model.py
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@ -61,8 +61,8 @@ stages:
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size: 4820
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- path: data/prepared_data
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hash: md5
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md5: 083fceee99ad873f2e248d8b9839d385.dir
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size: 35914893
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md5: 63af74a6d808f37d7ab0010300e3f6bf.dir
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size: 37110480
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nfiles: 2
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params:
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configs/build_model.yaml:
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@ -94,18 +94,18 @@ stages:
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outs:
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- path: data/fit_predictions/
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hash: md5
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md5: 00c1b7516f310d392aeef71fc4921ce3.dir
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size: 2838428
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md5: adc6e6cd0b396d9327123cabc0f3409e.dir
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size: 2901081
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nfiles: 1
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- path: data/model/
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hash: md5
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md5: 24520b79d5624e76ac760fa35b02eaf3.dir
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size: 681087101
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nfiles: 35
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md5: 191092d9ed4218368408af7907aff787.dir
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size: 719293313
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nfiles: 36
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- path: metrics/fit_metrics.json
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hash: md5
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md5: fd9aefe2f6fcdada0fc22cb8ccdb3f2f
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size: 219
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md5: feb839b11d75217c02ee8b3d13362324
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size: 223
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generate_predictions:
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cmd: python 3_generate_predictions.py
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deps:
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@ -115,13 +115,13 @@ stages:
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size: 2464
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- path: data/model
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hash: md5
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md5: 24520b79d5624e76ac760fa35b02eaf3.dir
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size: 681087101
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nfiles: 35
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md5: 191092d9ed4218368408af7907aff787.dir
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size: 719293313
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nfiles: 36
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- path: data/prepared_data
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hash: md5
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md5: 083fceee99ad873f2e248d8b9839d385.dir
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size: 35914893
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md5: 63af74a6d808f37d7ab0010300e3f6bf.dir
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size: 37110480
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nfiles: 2
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params:
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configs/settings.yaml:
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@ -133,8 +133,8 @@ stages:
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outs:
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- path: data/predictions/
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hash: md5
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md5: 06e63ec07a27906d17c7797bd700efaf.dir
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size: 370313
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md5: 794b1fb87d0693694782bef4d7443dfb.dir
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size: 380445
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nfiles: 1
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generate_metrics:
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cmd: python 4_generate_metrics.py
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@ -145,13 +145,13 @@ stages:
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size: 3447
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- path: data/predictions
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hash: md5
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md5: 06e63ec07a27906d17c7797bd700efaf.dir
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size: 370313
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md5: 794b1fb87d0693694782bef4d7443dfb.dir
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size: 380445
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nfiles: 1
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- path: data/prepared_data
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hash: md5
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md5: 083fceee99ad873f2e248d8b9839d385.dir
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size: 35914893
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md5: 63af74a6d808f37d7ab0010300e3f6bf.dir
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size: 37110480
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nfiles: 2
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params:
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configs/settings.yaml:
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@ -161,8 +161,8 @@ stages:
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outs:
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- path: metrics/metrics.json
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hash: md5
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md5: fc514bac3fa5140eb5568cd96b68b56a
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size: 223
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md5: c0db9fdd237e4cae5692884d70bb4d4c
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size: 221
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generate_scenerio_metrics:
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cmd: python 5_generate_scenarios.py
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deps:
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