Fixed crps + more inputs
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@@ -17,16 +17,25 @@ from src.models.time_embedding_layer import TimeEmbedding
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#### ClearML ####
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clearml_helper = ClearMLHelper(project_name="Thesis/NrvForecast")
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task = clearml_helper.get_task(task_name="Autoregressive Quantile Regression: GRU + Quarter + Load Forecast")
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task = clearml_helper.get_task(task_name="Autoregressive Quantile Regression: GRU + Quarter + Load + Wind")
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#### Data Processor ####
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data_config = DataConfig()
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data_config.NRV_HISTORY = True
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data_config.LOAD_HISTORY = True
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data_config.LOAD_FORECAST = True
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data_config.WIND_FORECAST = True
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data_config.WIND_HISTORY = True
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data_config.QUARTER = True
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data_config.DAY_OF_WEEK = False
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data_config.DAY_OF_WEEK = True
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data_config.NOMINAL_NET_POSITION = False
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data_config = task.connect(data_config, name="data_features")
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@@ -52,7 +61,7 @@ else:
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quantiles = eval(quantiles)
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model_parameters = {
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"learning_rate": 0.0001,
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"learning_rate": 0.0002,
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"hidden_size": 512,
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"num_layers": 2,
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"dropout": 0.2,
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@@ -79,7 +88,7 @@ trainer = AutoRegressiveQuantileTrainer(
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)
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trainer.add_metrics_to_track(
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[PinballLoss(quantiles), MSELoss(), L1Loss(), CRPSLoss()]
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[PinballLoss(quantiles), MSELoss(), L1Loss(), CRPSLoss(quantiles)]
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)
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trainer.early_stopping(patience=30)
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trainer.plot_every(5)
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