def render_time_series(data: List[Dict[Text, Union[Dict[Union[float, Text],
Any], Text]]],
config: Dict[Text, bool]) -> None:
"""Renders the time series view in Colab.
Args:
data: A list of dictionary containing metrics for different evaluation runs.
config: A dictionary of the configuration.
"""
util.render_tfma_component(
'tfma-nb-time-series',
data,
config,
trusted_html_for_vulcanized_tfma_js=get_trusted_html_for_vulcanized_js(
))
def render_plot(
data: Dict[Text, List[Union[Text, float, List[float]]]],
config: Dict[Text, Union[Dict[Text, Dict[Text, Text]], Text]]) -> None:
"""Renders the plot view in Colab.
Args:
data: A dictionary containing plot data.
config: A dictionary of the configuration.
"""
util.render_tfma_component(
'tfma-nb-plot',
data,
config,
trusted_html_for_vulcanized_tfma_js=get_trusted_html_for_vulcanized_js(
))
def render_slicing_metrics(
data: List[Dict[Text, Union[Dict[Text, Any], Text]]],
config: Dict[Text, Text],
event_handlers: Optional[Callable[[Dict[Text, Union[Text, float]]],
None]] = None
) -> None:
"""Renders the slicing metrics view in Colab.
Args:
data: A list of dictionary containing metrics for correpsonding slices.
config: A dictionary of the configuration.
event_handlers: event handlers
"""
util.render_tfma_component(
'tfma-nb-slicing-metrics',
data,
config,
event_handlers=event_handlers,
trusted_html_for_vulcanized_tfma_js=get_trusted_html_for_vulcanized_js(
))