From ef577861c1e35a457e2665ebad4f0a9a35696af5 Mon Sep 17 00:00:00 2001
From: lukas leufen <l.leufen@fz-juelich.de>
Date: Fri, 19 Jun 2020 14:45:32 +0200
Subject: [PATCH] include model param in the new run script
---
src/run.py | 41 +++++++++++++++++++++--------------------
1 file changed, 21 insertions(+), 20 deletions(-)
diff --git a/src/run.py b/src/run.py
index 705c6125..ac1d27b8 100644
--- a/src/run.py
+++ b/src/run.py
@@ -5,26 +5,27 @@ import inspect
def run(stations=['DEBW107', 'DEBY081', 'DEBW013', 'DEBW076', 'DEBW087', 'DEBW001'],
- station_type='background',
- trainable=False, create_new_model=True,
- window_history_size=6,
- experiment_date="testrun",
- network=None,
- variables=None, statistics_per_var=None,
- start=None, end=None,
- target_var="o3", target_dim=None,
- window_lead_time=None,
- dimensions=None,
- interpolate_method=None, interpolate_dim=None, limit_nan_fill=None,
- train_start=None, train_end=None, val_start=None, val_end=None, test_start=None, test_end=None,
- use_all_stations_on_all_data_sets=True, fraction_of_train=None,
- experiment_path=None, plot_path=None, forecast_path=None, bootstrap_path=None, overwrite_local_data=None,
- sampling="daily",
- permute_data_on_training=False, extreme_values=None, extremes_on_right_tail_only=None,
- transformation=None,
- train_min_length=None, val_min_length=None, test_min_length=None,
- evaluate_bootstraps=True, number_of_bootstraps=None, create_new_bootstraps=False,
- plot_list=None):
+ station_type='background',
+ trainable=False, create_new_model=True,
+ window_history_size=6,
+ experiment_date="testrun",
+ network=None,
+ variables=None, statistics_per_var=None,
+ start=None, end=None,
+ target_var="o3", target_dim=None,
+ window_lead_time=None,
+ dimensions=None,
+ interpolate_method=None, interpolate_dim=None, limit_nan_fill=None,
+ train_start=None, train_end=None, val_start=None, val_end=None, test_start=None, test_end=None,
+ use_all_stations_on_all_data_sets=True, fraction_of_train=None,
+ experiment_path=None, plot_path=None, forecast_path=None, bootstrap_path=None, overwrite_local_data=None,
+ sampling="daily",
+ permute_data_on_training=False, extreme_values=None, extremes_on_right_tail_only=None,
+ transformation=None,
+ train_min_length=None, val_min_length=None, test_min_length=None,
+ evaluate_bootstraps=True, number_of_bootstraps=None, create_new_bootstraps=False,
+ plot_list=None,
+ model=None):
params = inspect.getfullargspec(ExperimentSetup).args
kwargs = {k: v for k, v in locals().items() if k in params}
--
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