ALSModel (Spark 2.1.0 JavaDoc)

Object
- org.apache.spark.ml.PipelineStage
- - org.apache.spark.ml.Transformer
  - - org.apache.spark.ml.Model<ALSModel>
    - - org.apache.spark.ml.recommendation.ALSModel

All Implemented Interfaces:

java.io.Serializable, Params, Identifiable, MLWritable
```
public class ALSModel
extends Model<ALSModel>
implements MLWritable
```
Model fitted by ALS.
param: rank rank of the matrix factorization model param: userFactors a DataFrame that stores user factors in two columns: id and features param: itemFactors a DataFrame that stores item factors in two columns: id and features

See Also:
Serialized Form

Method Summary

Methods
Modifier and Type	Method and Description
`UserDefinedFunction`	`checkedCast()` Attempts to safely cast a user/item id to an Int.
`static Params`	`clear(Param<?> param)`
`ALSModel`	`copy(ParamMap extra)` Creates a copy of this instance with the same UID and some extra params.
`static String`	`explainParam(Param<?> param)`
`static String`	`explainParams()`
`static ParamMap`	`extractParamMap()`
`static ParamMap`	`extractParamMap(ParamMap extra)`
`static <T> scala.Option<T>`	`get(Param<T> param)`
`static <T> scala.Option<T>`	`getDefault(Param<T> param)`
`static String`	`getItemCol()`
`String`	`getItemCol()`
`static <T> T`	`getOrDefault(Param<T> param)`
`static Param<Object>`	`getParam(String paramName)`
`static String`	`getPredictionCol()`
`static String`	`getUserCol()`
`String`	`getUserCol()`
`static <T> boolean`	`hasDefault(Param<T> param)`
`static boolean`	`hasParam(String paramName)`
`static boolean`	`hasParent()`
`static boolean`	`isDefined(Param<?> param)`
`static boolean`	`isSet(Param<?> param)`
`static Param<String>`	`itemCol()`
`Param<String>`	`itemCol()` Param for the column name for item ids.
`Dataset<Row>`	`itemFactors()`
`static ALSModel`	`load(String path)`
`static Param<?>[]`	`params()`
`static void`	`parent_$eq(Estimator<M> x$1)`
`static Estimator<M>`	`parent()`
`static Param<String>`	`predictionCol()`
`int`	`rank()`
`static MLReader<ALSModel>`	`read()`
`static void`	`save(String path)`
`static <T> Params`	`set(Param<T> param, T value)`
`ALSModel`	`setItemCol(String value)`
`static M`	`setParent(Estimator<M> parent)`
`ALSModel`	`setPredictionCol(String value)`
`ALSModel`	`setUserCol(String value)`
`static String`	`toString()`
`Dataset<Row>`	`transform(Dataset<?> dataset)` Transforms the input dataset.
`StructType`	`transformSchema(StructType schema)` :: DeveloperApi ::
`String`	`uid()` An immutable unique ID for the object and its derivatives.
`static Param<String>`	`userCol()`
`Param<String>`	`userCol()` Param for the column name for user ids.
`Dataset<Row>`	`userFactors()`
`MLWriter`	`write()` Returns an `MLWriter` instance for this ML instance.

Methods inherited from class org.apache.spark.ml.Model
hasParent, parent, setParent

Methods inherited from class org.apache.spark.ml.Transformer
transform, transform, transform

Methods inherited from class Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.spark.ml.param.Params
clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

Methods inherited from interface org.apache.spark.ml.util.Identifiable
toString

Methods inherited from interface org.apache.spark.ml.util.MLWritable
save

- Method Detail
  - read
```
public static MLReader<ALSModel> read()
```
  - load
```
public static ALSModel load(String path)
```
  - toString
```
public static String toString()
```
  - params
```
public static Param<?>[] params()
```
  - explainParam
```
public static String explainParam(Param<?> param)
```
  - explainParams
```
public static String explainParams()
```
  - isSet
```
public static final boolean isSet(Param<?> param)
```
  - isDefined
```
public static final boolean isDefined(Param<?> param)
```
  - hasParam
```
public static boolean hasParam(String paramName)
```
  - getParam
```
public static Param<Object> getParam(String paramName)
```
  - set
```
public static final <T> Params set(Param<T> param,
             T value)
```
  - get
```
public static final <T> scala.Option<T> get(Param<T> param)
```
  - clear
```
public static final Params clear(Param<?> param)
```
  - getOrDefault
```
public static final <T> T getOrDefault(Param<T> param)
```
  - getDefault
```
public static final <T> scala.Option<T> getDefault(Param<T> param)
```
  - hasDefault
```
public static final <T> boolean hasDefault(Param<T> param)
```
  - extractParamMap
```
public static final ParamMap extractParamMap(ParamMap extra)
```
  - extractParamMap
```
public static final ParamMap extractParamMap()
```
  - parent
```
public static Estimator<M> parent()
```
  - parent_$eq
```
public static void parent_$eq(Estimator<M> x$1)
```
  - setParent
```
public static M setParent(Estimator<M> parent)
```
  - hasParent
```
public static boolean hasParent()
```
  - predictionCol
```
public static final Param<String> predictionCol()
```
  - getPredictionCol
```
public static final String getPredictionCol()
```
  - userCol
```
public static Param<String> userCol()
```
  - getUserCol
```
public static String getUserCol()
```
  - itemCol
```
public static Param<String> itemCol()
```
  - getItemCol
```
public static String getItemCol()
```
  - save
```
public static void save(String path)
                 throws java.io.IOException
```
    Throws:
    
    java.io.IOException
  - uid
```
public String uid()
```
    Description copied from interface: Identifiable
    
    An immutable unique ID for the object and its derivatives.
    
    Specified by:
    
    uid in interface Identifiable
    
    Returns:
    (undocumented)
  - rank
```
public int rank()
```
  - userFactors
```
public Dataset<Row> userFactors()
```
  - itemFactors
```
public Dataset<Row> itemFactors()
```
  - setUserCol
```
public ALSModel setUserCol(String value)
```
  - setItemCol
```
public ALSModel setItemCol(String value)
```
  - setPredictionCol
```
public ALSModel setPredictionCol(String value)
```
  - transform
```
public Dataset<Row> transform(Dataset<?> dataset)
```
    Description copied from class: Transformer
    
    Transforms the input dataset.
    
    Specified by:
    
    transform in class Transformer
    
    Parameters:
    dataset - (undocumented)
    
    Returns:
    (undocumented)
  - transformSchema
```
public StructType transformSchema(StructType schema)
```
    Description copied from class: PipelineStage
    
    :: DeveloperApi ::
    Check transform validity and derive the output schema from the input schema.
    We check validity for interactions between parameters during transformSchema and raise an exception if any parameter value is invalid. Parameter value checks which do not depend on other parameters are handled by Param.validate().
    Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.
    
    Specified by:
    
    transformSchema in class PipelineStage
    
    Parameters:
    schema - (undocumented)
    
    Returns:
    (undocumented)
  - copy
```
public ALSModel copy(ParamMap extra)
```
    Description copied from interface: Params
    
    Creates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly. See defaultCopy().
    
    Specified by:
    
    copy in interface Params
    
    Specified by:
    
    copy in class Model<ALSModel>
    
    Parameters:
    extra - (undocumented)
    
    Returns:
    (undocumented)
  - write
```
public MLWriter write()
```
    Description copied from interface: MLWritable
    
    Returns an MLWriter instance for this ML instance.
    
    Specified by:
    
    write in interface MLWritable
    
    Returns:
    (undocumented)
  - userCol
```
public Param<String> userCol()
```
    Param for the column name for user ids. Ids must be integers. Other numeric types are supported for this column, but will be cast to integers as long as they fall within the integer value range. Default: "user"
    
    Returns:
    (undocumented)
  - getUserCol
```
public String getUserCol()
```
  - itemCol
```
public Param<String> itemCol()
```
    Param for the column name for item ids. Ids must be integers. Other numeric types are supported for this column, but will be cast to integers as long as they fall within the integer value range. Default: "item"
    
    Returns:
    (undocumented)
  - getItemCol
```
public String getItemCol()
```
  - checkedCast
```
public UserDefinedFunction checkedCast()
```
    Attempts to safely cast a user/item id to an Int. Throws an exception if the value is out of integer range.
    
    Returns:
    (undocumented)

Class ALSModel

Method Summary

Methods inherited from class org.apache.spark.ml.Model

Methods inherited from class org.apache.spark.ml.Transformer

Methods inherited from class Object

Methods inherited from interface org.apache.spark.ml.param.Params

Methods inherited from interface org.apache.spark.ml.util.Identifiable

Methods inherited from interface org.apache.spark.ml.util.MLWritable

Method Detail

read

load

toString

params

explainParam

explainParams

isSet

isDefined

hasParam

getParam

set

get

clear

getOrDefault

getDefault

hasDefault

extractParamMap

extractParamMap

parent

parent_$eq

setParent

hasParent

predictionCol

getPredictionCol

userCol

getUserCol

itemCol

getItemCol

save

uid

rank

userFactors

itemFactors

setUserCol

setItemCol

setPredictionCol

transform

transformSchema

copy

write

userCol

getUserCol

itemCol

getItemCol

checkedCast