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Commit 67bb6e0d authored by Felix Kleinert's avatar Felix Kleinert
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update readme

parent 613a5e07
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......@@ -15,7 +15,7 @@ We assume that you have downloaded or cloned the project from GitLab or
* Make sure that CUDA 10.0 is installed if you want to use Nvidia GPUs (compatible with TensorFlow 1.13.1).
Depending on your system (GPU available or not) you can create a virtual environment by executing
`python3 -m venv venv`. Make sure that the venv is activated (`source venv/bin/activate`). Afterwards
`python3.6 -m venv venv`. Make sure that the venv is activated (`source venv/bin/activate`). Afterwards
you can install the requirements into the venv:
* CPU version: `pip install -r requirements.txt`
* GPU version: `pip install -r requirements_gpu.txt`
......
......@@ -17,7 +17,7 @@ from src.run_modules.training import Training
def main(parser_args):
station_filename = "German_background_stations.json" # "German_stations.json"
station_filename = "German_background_stations.json"
with open(station_filename) as jfile:
stations = json.load(jfile)
......@@ -27,11 +27,11 @@ def main(parser_args):
data_path=f"{os.getcwd()}/raw_input_IntelliO3-ts/",
# hpc_hosts=["yo"], #
stations=stations,
# stations=['DEBW107', 'DEBY081', 'DEBW013', 'DEBW076', 'DEBW087', 'DEBW001'],
evaluate_bootstraps=False,
station_type='background', window_lead_time=4, window_history_size=6,
trainable=False, create_new_model=False, permute_data_on_training=True,
extreme_values=3., train_min_length=365, val_min_length=365, test_min_length=365,
create_new_bootstraps=True,
create_new_bootstraps=False,
plot_list=["PlotMonthlySummary", "PlotStationMap", "PlotClimatologicalSkillScore",
"PlotCompetitiveSkillScore", "PlotBootstrapSkillScore", "PlotConditionalQuantiles",
"PlotAvailability"],
......
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