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@ -10,7 +10,7 @@ pipeline {
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stages {
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stages {
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stage('Build') {
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stage('Build') {
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steps {
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steps {
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cleanWs()
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// cleanWs()
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git 'https://git.wmi.amu.edu.pl/s434749/ium_434749.git'
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git 'https://git.wmi.amu.edu.pl/s434749/ium_434749.git'
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copyArtifacts fingerprintArtifacts: true, projectName: 's434749-create-dataset', selector: lastSuccessful()
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copyArtifacts fingerprintArtifacts: true, projectName: 's434749-create-dataset', selector: lastSuccessful()
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sh "python3 train_model.py with 'batch_size=${params.batch_size}' 'learning_rate=${params.learning_rate}' 'epochs=${params.epochs}'"
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sh "python3 train_model.py with 'batch_size=${params.batch_size}' 'learning_rate=${params.learning_rate}' 'epochs=${params.epochs}'"
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@ -193,10 +193,10 @@ def cfg():
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def signature(model,in_alphabet,max_len):
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def signature(model,in_alphabet,max_len):
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mock_x = [('abc', 'xyz'), ('hey', 'man')]
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mock_x = [('abc', 'xyz')]
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mock_text, _ = encode_str(mock_x, in_alphabet, max_len)
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mock_text, _ = encode_str(mock_x, in_alphabet, max_len)
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mock_y = model(mock_text)
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mock_y = model(mock_text)
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return mlflow.models.signature.infer_signature(mock_x, mock_y)
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return mlflow.models.signature.infer_signature(mock_text, mock_y)
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@ex.automain
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@ex.automain
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def run(kernel_size, hidden_layers, data_file, epochs, teacher_forcing_probability, learning_rate, batch_size, max_len,
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def run(kernel_size, hidden_layers, data_file, epochs, teacher_forcing_probability, learning_rate, batch_size, max_len,
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