Training Dashboard
A no bullshit, dead simple training visualizer for tf-keras.
Usage
TrainingDashboard is meant to be used as a callback passed to the fit() function.
from training_dashboard import TrainingDashboard
callback = TrainingDashboard(validation=True,
min_loss=0,
metrics=["accuracy", "auc"],
batch_step=10,
min_metric_dict={"accuracy": 0, "auc": 0},
max_metric_dict={"accuracy": 1, "auc": 1})
model.fit(x_train,
y_train,
batch_size=512,
epochs=25,
verbose=1,
validation_split=0.2,
callbacks=[callback])
Example Output
Metadata
Release files for training-dashboard 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| training_dashboard-0.1.0.tar.gz | 5.3 kB | Details |
Release files / training_dashboard-0.1.0.tar.gz
| Download URL | training_dashboard-0.1.0.tar.gz |
|---|---|
| Size | 5.3 kB |
| Tags | Source |
|
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eade311917c2c53b068bf66d4dab241601e930c09bfde614f2b8bfe089f338d6
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twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.4
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