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Validation
blabla, validation is super blabla
Description...
cross_validation(sample_list, model, k_fold=3, epochs=20,
iterations=None, evaluation_path="evaluation",
draw_figures=True, run_detailed_evaluation=True,
callbacks=[], direct_output=False)
Function for an automatic k-fold Cross-Validation of the Neural Network model by running the whole pipeline several times with different data set combinations.
Arguments:
- sample_list: A list of sample indicies which will be used for validation.
- model: Instance of a Neural Network model class instance.
- k_fold: The number of k-folds for the Cross-Validation.
- epochs: Number of epochs. A single epoch is defined as one iteration through the complete data set.
- iterations: Number of iterations (batches) in a single epoch.
- evaluation_path: Path to the evaluation data directory. This directory will be created and used for storing all kinds of evaluation results during the validation processes.
- draw_figures: Boolean, whether evaluation figures should be automatically plotted in the evaluation directory.
- run_detailed_evaluation: Boolean, whether a detailed evaluation (additional prediction) should be performed.
- callbacks: A list of Callback classes for custom evaluation.
- direct_output: Boolean, whether computed evaluations will be output as the return of this function or if the evaluations will be saved on disk in the evaluation directory.
Returns:
None or validation results if direct_output is true. The variable validation_results is a list of Keras History objects containing all kinds of information. For each fold, a history object will created and appended to the list.
Example:
model = miscnn.Neural_Network(preprocessor=pp)
from miscnn.evaluation import cross_validation
cross_validation(sample_list, model, k_fold=3, epochs=50)
get_indiceslist()
1-2 sentence description
Arguments:
- a: asd
- b: asd
- c: asd
Returns:
asd
Example:
function
get_indiceslist()
1-2 sentence description
Arguments:
- a: asd
- b: asd
- c: asd
Returns:
asd
Example:
function
get_indiceslist()
1-2 sentence description
Arguments:
- a: asd
- b: asd
- c: asd
Returns:
asd
Example:
function
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