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Subsampling data for faster plot rendering #517

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Merged
merged 1 commit into from
Jan 8, 2024
Merged

Subsampling data for faster plot rendering #517

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1 change: 1 addition & 0 deletions ads/opctl/operator/lowcode/forecast/const.py
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Expand Up @@ -81,3 +81,4 @@ class ForecastOutputColumns(str, metaclass=ExtendedEnumMeta):
DEFAULT_TRIALS = 10
SUMMARY_METRICS_HORIZON_LIMIT = 10
PROPHET_INTERNAL_DATE_COL = "ds"
RENDER_LIMIT = 5000
5 changes: 1 addition & 4 deletions ads/opctl/operator/lowcode/forecast/model/base_model.py
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Expand Up @@ -598,10 +598,7 @@ def explain_model(self, datetime_col_name, explain_predict_fn) -> dict:
data_trimmed[datetime_col_name] = data_trimmed[datetime_col_name].apply(lambda x: x.timestamp())
kernel_explnr = PermutationExplainer(
model=explain_predict_fn,
masker=data_trimmed,
keep_index=False
if self.spec.model == SupportedModels.AutoMLX
else True,
masker=data_trimmed
)

kernel_explnr_vals = kernel_explnr.shap_values(data_trimmed)
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19 changes: 18 additions & 1 deletion ads/opctl/operator/lowcode/forecast/utils.py
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Expand Up @@ -28,7 +28,7 @@
from ads.dataset.label_encoder import DataFrameLabelEncoder
from ads.opctl import logger

from .const import SupportedMetrics, SupportedModels
from .const import SupportedMetrics, SupportedModels, RENDER_LIMIT
from .errors import ForecastInputDataError, ForecastSchemaYamlError
from .operator_config import ForecastOperatorSpec, ForecastOperatorConfig

Expand Down Expand Up @@ -417,6 +417,23 @@ def get_forecast_plots(
def plot_forecast_plotly(idx, col):
fig = go.Figure()
forecast_i = forecast_output.get_target_category(col)
actual_length = len(forecast_i)
if actual_length > RENDER_LIMIT:
forecast_i = forecast_i.tail(RENDER_LIMIT)
text = f"<i>To improve rendering speed, subsampled the data from {actual_length}" \
f" rows to {RENDER_LIMIT} rows for this plot.</i>"
fig.update_layout(
annotations=[
go.layout.Annotation(
x=0.01,
y=1.1,
xref="paper",
yref="paper",
text=text,
showarrow=False
)
]
)
upper_bound = forecast_output.upper_bound_name
lower_bound = forecast_output.lower_bound_name
if upper_bound is not None and lower_bound is not None:
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