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style(models): Replaces non-ASCII charactes in pdl files with ASCII c… (#7105)

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Nate Bryant 2023-01-23 21:46:03 -05:00 committed by GitHub
parent e92ce161f9
commit dbc89c8680
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3 changed files with 6 additions and 6 deletions
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8
li-utils/src/main/pegasus/com/linkedin/common/MLFeatureDataType.pdl
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@ -12,7 +12,7 @@ enum MLFeatureDataType {
USELESS USELESS
/** /**
* Nominal data is made of discrete values with no numerical relationship between the different categories — mean and median are meaningless. * Nominal data is made of discrete values with no numerical relationship between the different categories - mean and median are meaningless.
* Animal species is one example. For example, pig is not higher than bird and lower than fish. * Animal species is one example. For example, pig is not higher than bird and lower than fish.
*/ */
NOMINAL NOMINAL
@ -24,19 +24,19 @@ enum MLFeatureDataType {
ORDINAL ORDINAL
/** /**
* Binary data is discrete data that can be in only one of two categories — either yes or no, 1 or 0, off or on, etc * Binary data is discrete data that can be in only one of two categories - either yes or no, 1 or 0, off or on, etc
*/ */
BINARY BINARY
/** /**
* Count data is discrete whole number data — no negative numbers here. * Count data is discrete whole number data - no negative numbers here.
* Count data often has many small values, such as zero and one. * Count data often has many small values, such as zero and one.
*/ */
COUNT COUNT
/** /**
* Time data is a cyclical, repeating continuous form of data. * Time data is a cyclical, repeating continuous form of data.
* The relevant time features can be any period— daily, weekly, monthly, annual, etc. * The relevant time features can be any period- daily, weekly, monthly, annual, etc.
*/ */
TIME TIME

2
metadata-models/src/main/pegasus/com/linkedin/ml/metadata/EthicalConsiderations.pdl
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@ -14,7 +14,7 @@ record EthicalConsiderations {
data: optional array[string] data: optional array[string]
/** /**
* Is the MLModel intended to inform decisions about matters central to human life or flourishing – e.g., health or safety? Or could it be used in such a way? * Is the MLModel intended to inform decisions about matters central to human life or flourishing - e.g., health or safety? Or could it be used in such a way?
*/ */
humanLife: optional array[string] humanLife: optional array[string]

2
metadata-models/src/main/pegasus/com/linkedin/ml/metadata/MLModelFactors.pdl
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@ -13,7 +13,7 @@ record MLModelFactors {
/** /**
* The performance of a MLModel can vary depending on what instruments were used to capture the input to the MLModel. * The performance of a MLModel can vary depending on what instruments were used to capture the input to the MLModel.
* For example, a face detection model may perform differently depending on the camera’s hardware and software, * For example, a face detection model may perform differently depending on the camera's hardware and software,
* including lens, image stabilization, high dynamic range techniques, and background blurring for portrait mode. * including lens, image stabilization, high dynamic range techniques, and background blurring for portrait mode.
*/ */
instrumentation: optional array[string] instrumentation: optional array[string]