How to use the livelossplot.neptune_integration.neptune_send_plot function in livelossplot
To help you get started, we’ve selected a few livelossplot examples, based on popular ways it is used in public projects.
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stared / livelossplot / livelossplot / generic_plot.py View on Github 
max_epoch=self.max_epoch,
max_cols=self.max_cols,
series_fmt=self.series_fmt,
metric2title=self.metric2title,
skip_first=self.skip_first,
extra_plots=self.extra_plots,
fig_path=self.fig_path)
if self.metrics_extrema:
print_extrema(self.logs,
self.base_metrics,
self.metrics_extrema,
series_fmt=self.series_fmt,
metric2title=self.metric2title)
if self.target == NEPTUNE_TARGET:
from .neptune_integration import neptune_send_plot
neptune_send_plot(self.logs)livelossplot
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.
Package Health Score
49 / 100Popular livelossplot functions
- livelossplot.core.draw_plot
- livelossplot.core.MATPLOTLIB_TARGET
- livelossplot.core.NEPTUNE_TARGET
- livelossplot.core.not_inline_warning
- livelossplot.core.print_extrema
- livelossplot.generic_keras._PlotLossesCallback
- livelossplot.generic_keras._PlotLossesCallback.__init__
- livelossplot.generic_plot.PlotLosses
- livelossplot.keras.PlotLossesCallback
- livelossplot.matplotlib_subplots.BaseSubplot
- livelossplot.neptune_integration.neptune_send_plot
- livelossplot.PlotLosses
- livelossplot.poutyne.PlotLossesCallback
- livelossplot.tensorboard.TensorboardLogger
- livelossplot.tf_keras.PlotLossesCallback