58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
|
#
|
||
|
|
# Licensed to the Apache Software Foundation (ASF) under one
|
||
|
|
# or more contributor license agreements. See the NOTICE file
|
||
|
|
# distributed with this work for additional information
|
||
|
|
# regarding copyright ownership. The ASF licenses this file
|
||
|
|
# to you under the Apache License, Version 2.0 (the
|
||
|
|
# "License"); you may not use this file except in compliance
|
||
|
|
# with the License. You may obtain a copy of the License at
|
||
|
|
#
|
||
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
||
|
|
#
|
||
|
|
# Unless required by applicable law or agreed to in writing,
|
||
|
|
# software distributed under the License is distributed on an
|
||
|
|
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
|
||
|
|
# KIND, either express or implied. See the License for the
|
||
|
|
# specific language governing permissions and limitations
|
||
|
|
# under the License.
|
||
|
|
|
||
|
|
from typing import Generic, List, TypeVar
|
||
|
|
from pyspark.context import SparkContext
|
||
|
|
from pyspark.rdd import RDD
|
||
|
|
from pyspark.mllib.common import JavaModelWrapper
|
||
|
|
from pyspark.mllib.util import JavaSaveable, JavaLoader
|
||
|
|
|
||
|
|
T = TypeVar("T")
|
||
|
|
|
||
|
|
class FPGrowthModel(
|
||
|
|
JavaModelWrapper, JavaSaveable, JavaLoader[FPGrowthModel], Generic[T]
|
||
|
|
):
|
||
|
|
def freqItemsets(self) -> RDD[FPGrowth.FreqItemset[T]]: ...
|
||
|
|
@classmethod
|
||
|
|
def load(cls, sc: SparkContext, path: str) -> FPGrowthModel: ...
|
||
|
|
|
||
|
|
class FPGrowth:
|
||
|
|
@classmethod
|
||
|
|
def train(
|
||
|
|
cls, data: RDD[List[T]], minSupport: float = ..., numPartitions: int = ...
|
||
|
|
) -> FPGrowthModel[T]: ...
|
||
|
|
class FreqItemset(Generic[T]):
|
||
|
|
items = ... # List[T]
|
||
|
|
freq = ... # int
|
||
|
|
|
||
|
|
class PrefixSpanModel(JavaModelWrapper, Generic[T]):
|
||
|
|
def freqSequences(self) -> RDD[PrefixSpan.FreqSequence[T]]: ...
|
||
|
|
|
||
|
|
class PrefixSpan:
|
||
|
|
@classmethod
|
||
|
|
def train(
|
||
|
|
cls,
|
||
|
|
data: RDD[List[List[T]]],
|
||
|
|
minSupport: float = ...,
|
||
|
|
maxPatternLength: int = ...,
|
||
|
|
maxLocalProjDBSize: int = ...,
|
||
|
|
) -> PrefixSpanModel[T]: ...
|
||
|
|
class FreqSequence(tuple, Generic[T]):
|
||
|
|
sequence: List[T]
|
||
|
|
freq: int
|