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

datahub-project#7105)
ericyomi · Feb 8, 2023 · bdf58fb · bdf58fb
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Showing 3 changed files with 6 additions and 6 deletions.
diff --git a/li-utils/src/main/pegasus/com/linkedin/common/MLFeatureDataType.pdl b/li-utils/src/main/pegasus/com/linkedin/common/MLFeatureDataType.pdl
@@ -12,7 +12,7 @@ enum MLFeatureDataType {
   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.
    */
   NOMINAL
@@ -24,19 +24,19 @@ enum MLFeatureDataType {
   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
 
   /**
-   * 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
 
   /**
    * 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
 

diff --git a/metadata-models/src/main/pegasus/com/linkedin/ml/metadata/EthicalConsiderations.pdl b/metadata-models/src/main/pegasus/com/linkedin/ml/metadata/EthicalConsiderations.pdl
@@ -14,7 +14,7 @@ record EthicalConsiderations {
   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]
 

diff --git a/metadata-models/src/main/pegasus/com/linkedin/ml/metadata/MLModelFactors.pdl b/metadata-models/src/main/pegasus/com/linkedin/ml/metadata/MLModelFactors.pdl
@@ -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.
-   * 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.
    */
   instrumentation: optional array[string]