[ML] DF Analytics: UI improvements (#71949)
* make hyper parameters one word * update analytics job types help text * update job type text * ensure long description has word break to prevent overflow
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@ -249,7 +249,7 @@ export const AdvancedStepDetails: FC<{ setCurrentStep: any; state: State }> = ({
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<EuiTitle size="xs">
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<EuiTitle size="xs">
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<h3>
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<h3>
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{i18n.translate('xpack.ml.dataframe.analytics.create.hyperParametersDetailsTitle', {
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{i18n.translate('xpack.ml.dataframe.analytics.create.hyperParametersDetailsTitle', {
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defaultMessage: 'Hyper parameters',
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defaultMessage: 'Hyperparameters',
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})}
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})}
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</h3>
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</h3>
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</EuiTitle>
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</EuiTitle>
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@ -408,7 +408,7 @@ export const AdvancedStepForm: FC<CreateAnalyticsStepProps> = ({
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<EuiTitle size="xs">
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<EuiTitle size="xs">
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<h3>
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<h3>
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{i18n.translate('xpack.ml.dataframe.analytics.create.hyperParametersSectionTitle', {
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{i18n.translate('xpack.ml.dataframe.analytics.create.hyperParametersSectionTitle', {
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defaultMessage: 'Hyper parameters',
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defaultMessage: 'Hyperparameters',
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})}
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})}
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</h3>
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</h3>
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</EuiTitle>
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</EuiTitle>
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@ -21,24 +21,21 @@ export const JobType: FC<Props> = ({ type, setFormState }) => {
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const outlierHelpText = i18n.translate(
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const outlierHelpText = i18n.translate(
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'xpack.ml.dataframe.analytics.create.outlierDetectionHelpText',
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'xpack.ml.dataframe.analytics.create.outlierDetectionHelpText',
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{
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{
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defaultMessage:
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defaultMessage: 'Outlier detection identifies unusual data points in the data set.',
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'Outlier detection jobs require a source index that is mapped as a table-like data structure and analyze only numeric and boolean fields. Use the advanced editor to add custom options to the configuration.',
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}
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}
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);
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);
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const regressionHelpText = i18n.translate(
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const regressionHelpText = i18n.translate(
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'xpack.ml.dataframe.analytics.create.outlierRegressionHelpText',
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'xpack.ml.dataframe.analytics.create.outlierRegressionHelpText',
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{
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{
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defaultMessage:
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defaultMessage: 'Regression predicts numerical values in the data set.',
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'Regression jobs analyze only numeric fields. Use the advanced editor to apply custom options, such as the prediction field name.',
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}
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}
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);
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);
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const classificationHelpText = i18n.translate(
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const classificationHelpText = i18n.translate(
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'xpack.ml.dataframe.analytics.create.classificationHelpText',
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'xpack.ml.dataframe.analytics.create.classificationHelpText',
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{
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{
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defaultMessage:
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defaultMessage: 'Classification predicts labels of data points in the data set.',
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'Classification jobs require a source index that is mapped as a table-like data structure and support fields that are numeric, boolean, text, keyword, or ip. Use the advanced editor to apply custom options, such as the prediction field name.',
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}
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}
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);
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);
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@ -75,7 +75,11 @@ export const DetailsStepDetails: FC<{ setCurrentStep: any; state: State }> = ({
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<EuiDescriptionList compressed listItems={detailsFirstCol} />
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<EuiDescriptionList compressed listItems={detailsFirstCol} />
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</EuiFlexItem>
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</EuiFlexItem>
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<EuiFlexItem grow={false}>
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<EuiFlexItem grow={false}>
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<EuiDescriptionList compressed listItems={detailsSecondCol} />
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<EuiDescriptionList
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style={{ wordBreak: 'break-word' }}
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compressed
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listItems={detailsSecondCol}
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/>
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</EuiFlexItem>
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</EuiFlexItem>
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<EuiFlexItem grow={false}>
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<EuiFlexItem grow={false}>
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<EuiDescriptionList compressed listItems={detailsThirdCol} />
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<EuiDescriptionList compressed listItems={detailsThirdCol} />
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