An alias for getOrDefault()
.
An alias for getOrDefault()
.
Clears the user-supplied value for the input param.
Clears the user-supplied value for the input param.
Creates a copy of this instance with the same UID and some extra 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()
.
Copies param values from this instance to another instance for params shared by them.
Copies param values from this instance to another instance for params shared by them.
This handles default Params and explicitly set Params separately.
Default Params are copied from and to defaultParamMap
, and explicitly set Params are
copied from and to paramMap
.
Warning: This implicitly assumes that this Params instance and the target instance
share the same set of default Params.
the target instance, which should work with the same set of default Params as this source instance
extra params to be copied to the target's paramMap
the target instance with param values copied
Default implementation of copy with extra params.
Default implementation of copy with extra params. It tries to create a new instance with the same UID. Then it copies the embedded and extra parameters over and returns the new instance.
Explains a param.
Explains a param.
input param, must belong to this instance.
a string that contains the input param name, doc, and optionally its default value and the user-supplied value
Explains all params of this instance.
Explains all params of this instance. See explainParam()
.
extractParamMap
with no extra values.
extractParamMap
with no extra values.
Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values less than user-supplied values less than extra.
Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values less than user-supplied values less than extra.
:: Experimental :: Finds the complete set of frequent sequential patterns in the input sequences of itemsets.
:: Experimental :: Finds the complete set of frequent sequential patterns in the input sequences of itemsets.
A dataset or a dataframe containing a sequence column which is
ArrayType(ArrayType(T))
A DataFrame
that contains columns of sequence and corresponding frequency.
The schema of it will be:
sequence: ArrayType(ArrayType(T))
(T is the item type)freq: Long
Optionally returns the user-supplied value of a param.
Optionally returns the user-supplied value of a param.
Gets the default value of a parameter.
Gets the default value of a parameter.
Gets the value of a param in the embedded param map or its default value.
Gets the value of a param in the embedded param map or its default value. Throws an exception if neither is set.
Gets a param by its name.
Gets a param by its name.
Tests whether the input param has a default value set.
Tests whether the input param has a default value set.
Tests whether this instance contains a param with a given name.
Tests whether this instance contains a param with a given name.
Checks whether a param is explicitly set or has a default value.
Checks whether a param is explicitly set or has a default value.
Checks whether a param is explicitly set.
Checks whether a param is explicitly set.
Param for the maximum number of items (including delimiters used in the internal storage
format) allowed in a projected database before local processing (default: 32000000
).
Param for the maximum number of items (including delimiters used in the internal storage
format) allowed in a projected database before local processing (default: 32000000
).
If a projected database exceeds this size, another iteration of distributed prefix growth
is run.
Param for the maximal pattern length (default: 10
).
Param for the maximal pattern length (default: 10
).
Param for the minimal support level (default: 0.1
).
Param for the minimal support level (default: 0.1
).
Sequential patterns that appear more than (minSupport * size-of-the-dataset) times are
identified as frequent sequential patterns.
Returns all params sorted by their names.
Returns all params sorted by their names. The default implementation uses Java reflection to list all public methods that have no arguments and return Param.
Developer should not use this method in constructor because we cannot guarantee that this variable gets initialized before other params.
Param for the name of the sequence column in dataset (default "sequence"), rows with nulls in this column are ignored.
Param for the name of the sequence column in dataset (default "sequence"), rows with nulls in this column are ignored.
Sets a parameter in the embedded param map.
Sets a parameter in the embedded param map.
Sets a parameter (by name) in the embedded param map.
Sets a parameter (by name) in the embedded param map.
Sets a parameter in the embedded param map.
Sets a parameter in the embedded param map.
Sets default values for a list of params.
Sets default values for a list of params.
Note: Java developers should use the single-parameter setDefault
.
Annotating this with varargs can cause compilation failures due to a Scala compiler bug.
See SPARK-9268.
a list of param pairs that specify params and their default values to set respectively. Make sure that the params are initialized before this method gets called.
Sets a default value for a param.
Sets a default value for a param.
param to set the default value. Make sure that this param is initialized before this method gets called.
the default value
An immutable unique ID for the object and its derivatives.
An immutable unique ID for the object and its derivatives.
A list of (hyper-)parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters, respectively.
:: Experimental :: A parallel PrefixSpan algorithm to mine frequent sequential patterns. The PrefixSpan algorithm is described in J. Pei, et al., PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth (see here). This class is not yet an Estimator/Transformer, use
findFrequentSequentialPatterns
method to run the PrefixSpan algorithm.Sequential Pattern Mining (Wikipedia)