Reference API
conn2res.tasks - Task dataset fetchers
Functionality for fetching task datasets
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Class for generating task datasets from the Neurogym repository |
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Class for generating task datasets from the ReservoirPy repository |
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Class for generating task datasets from the ReservoirPy repository |
conn2res.connectivity - Connectivity data handling
Functionality for connectivity matrix
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Class that represents a connectivity matrix representing either weighted or unweighted connectivity data |
conn2res.reservoir - Reservoir objects
Functionality for simulating reservoirs
Class that represents a general Reservoir object |
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Class that represents an Echo State Network |
Class that represents a general Memristive Reservoir |
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Class that represents a Metastable Switch Memristive network (see Nugent and Molter, 2014 for details) |
conn2res.readout - Readout module
Functionality to train readout module
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_summary_ |
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Splits data into training and test sets according to 'frac_train' |
_summary_ |
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_summary_ |
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_summary_ |
_summary_ |
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_summary_ |
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_summary_ |
conn2res.performance - Performance metrics
Functions to measure learning performance
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Coefficient of determination of the regression R^2. |
Mean squared error. |
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Root mean squared error. |
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Mean absolute error. |
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Pearson's correlation coefficient. |
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Accuracy score. |
Balance accuracy score. |
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F1-score. |
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Precision score. |
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Recall score. |
conn2res.plotting - Plotting functions
Plotting functions
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#TODO _summary_ |
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Plot input (x) and output (y) data. |
Plot simulated reservoir states. |
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Plot decision function of readout module. |
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Plot performance curve. |
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Plot phase space diagram |