com.salesforce.op.stages.impl.feature
DateMapToUnitCircleVectorizer
Related Doc: package feature
Input Features type
Input Features type
Checks the input length
Checks the input length
input features
true is input size as expected, false otherwise
Check if the stage is serializable
Check if the stage is serializable
Failure if not serializable
This method is used to make a copy of the instance with new parameters in several methods in spark internals Default will find the constructor and make a copy for any class (AS LONG AS ALL CONSTRUCTOR PARAMS ARE VALS, this is why type tags are written as implicit vals in base classes).
This method is used to make a copy of the instance with new parameters in several methods in spark internals Default will find the constructor and make a copy for any class (AS LONG AS ALL CONSTRUCTOR PARAMS ARE VALS, this is why type tags are written as implicit vals in base classes).
Note: that the convention in spark is to have the uid be a constructor argument, so that copies will share a uid with the original (developers should follow this convention).
new parameters want to add to instance
a new instance with the same uid
Spark operation on dataset to produce Dataset for constructor fit function and then turn output function into a Model
Spark operation on dataset to produce Dataset for constructor fit function and then turn output function into a Model
input data for this stage
a fitted model that will perform the transformation specified by the function defined in constructor fit
Function that fits the sequence model
Function that fits the sequence model
Gets an input feature Note: this method IS NOT safe to use outside the driver, please use getTransientFeature method instead
Gets an input feature Note: this method IS NOT safe to use outside the driver, please use getTransientFeature method instead
array of features
NoSuchElementException if the features are not set
RuntimeException in case one of the features is null
Gets the input features Note: this method IS NOT safe to use outside the driver, please use getTransientFeatures method instead
Gets the input features Note: this method IS NOT safe to use outside the driver, please use getTransientFeatures method instead
array of features
NoSuchElementException if the features are not set
RuntimeException in case one of the features is null
Output features that will be created by this stage
Output features that will be created by this stage
feature of type OutputFeatures
Name of output feature (i.e.
Name of output feature (i.e. column created by this stage)
Gets an input feature at index i
Gets an input feature at index i
input index
maybe an input feature
Gets the input Features
Function to convert InputFeatures to an Array of FeatureLike
Function to convert InputFeatures to an Array of FeatureLike
an Array of FeatureLike
Function to be called on getMetadata
Function to be called on getMetadata
Function to be called on setInput
Function to be called on setInput
unique name of the operation this stage performs
unique name of the operation this stage performs
Function to convert OutputFeatures to an Array of FeatureLike
Function to convert OutputFeatures to an Array of FeatureLike
an Array of FeatureLike
Should output feature be a response? Yes, if any of the input features are.
Should output feature be a response? Yes, if any of the input features are.
true if the the output feature should be a response
Get the metadata describing the output vector
Get the metadata describing the output vector
This does not trigger onGetMetadata()
Metadata of output vector
Input features that will be used by the stage
Input features that will be used by the stage
feature of type InputFeatures
Sets input features
Sets input features
feature like type
array of input features
this stage
Stage unique name consisting of the stage operation name and uid
Stage unique name consisting of the stage operation name and uid
stage name
This function translates the input and output features into spark schema checks and changes that will occur on the underlying data frame
This function translates the input and output features into spark schema checks and changes that will occur on the underlying data frame
schema of the input data frame
a new schema with the output features added
type tag for input
type tag for input
type tag for input
type tag for input
type tag for output value
type tag for output value
uid for instance
uid for instance
Compute the output vector metadata only from the input features.
Compute the output vector metadata only from the input features. Vectorizers use this to derive the full vector, including pivot columns or indicator features.
Vector metadata from input features
Get the name of the output vector
Get the name of the output vector
Output vector name as a string
Following: http://webspace.ship.edu/pgmarr/geo441/lectures/lec%2016%20-%20directional%20statistics.pdf Transforms a Date or DateTime field into a cartesian coordinate representation of an extracted time period on the unit circle
parameter timePeriod The time period to extract from the timestamp enum from: DayOfMonth, DayOfWeek, DayOfYear, HourOfDay, MonthOfYear, WeekOfMonth, WeekOfYear
We extract the timePeriod from the timestamp and map this onto the unit circle containing the number of time periods equally spaced. For example, when timePeriod = HourOfDay, the timestamp 01/01/2018 6:37 maps to the point on the circle with angle radians = 2*math.Pi*6/24 We return the cartesian coordinates of this point: (math.cos(radians), math.sin(radians))
The first time period always has angle 0.
Note: We use the ISO week date format https://en.wikipedia.org/wiki/ISO_week_date#First_week Monday is the first day of the week & the first week of the year is the week wit the first Monday after Jan 1.