com.tencent.angel.conf.MatrixConf Maven / Gradle / Ivy
/*
* Tencent is pleased to support the open source community by making Angel available.
*
* Copyright (C) 2017-2018 THL A29 Limited, a Tencent company. All rights reserved.
*
* Licensed 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
*
* https://opensource.org/licenses/Apache-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.
*
*/
package com.tencent.angel.conf;
import com.tencent.angel.ps.storage.partition.storage.DenseServerRowsStorage;
import com.tencent.angel.ps.storage.partition.RowBasedPartition;
import com.tencent.angel.ps.storage.partition.ServerPartition;
import com.tencent.angel.ps.storage.partition.storage.ServerPartitionStorage;
/**
* Matrix parameters.
*/
public class MatrixConf {
/**
* matrix partition class
*/
public static final String SERVER_PARTITION_CLASS = "server.partition.class";
public static final Class DEFAULT_SERVER_PARTITION_CLASS = RowBasedPartition.class;
/**
* matrix partition storage class
*/
public static final String SERVER_PARTITION_STORAGE_CLASS = "server.partition.storage.class";
public static final Class DEFAULT_SERVER_PARTITION_STORAGE_CLASS = DenseServerRowsStorage.class;
/**
* Matrix oplog storage type. There are four types oplog now:DENSE_DOUBLE, DENSE_INT, LIL_INI,
* DENSE_FLOAT.
*
* DENSE_DOUBLE means use a dense double matrix to store the oplog, if the oplog is a sparse/dense
* double vector or matrix, we can use it.
*
* DENSE_FLOAT means use a dense float matrix to store the oplog, if the oplog is a sparse/dense
* float vector or matrix, we can use it.
*
* DENSE_INT means use a dense int matrix to store the oplog, if the oplog is a sparse/dense int
* vector or matrix, we can use it.
*
* LIL_INT means use a sparse int matrix to store the oplog, if the oplog is a sparse/dense int
* vector or matrix, we can use it.
*/
public static final String MATRIX_OPLOG_TYPE = "matrix.oplog.type";
public static final String DEFAULT_MATRIX_OPLOG_TYPE = "DENSE_DOUBLE";
/**
* check and filter zero values in oplog before transfer
*/
public static final String MATRIX_OPLOG_ENABLEFILTER = "matrix.oplog.enablefilter"; // true, false
public static final String DEFAULT_MATRIX_OPLOG_ENABLEFILTER = "false";
/**
* check and filter zero values in oplog before transfer
*/
public static final String MATRIX_OPLOG_FILTER_THRESHOLD = "matrix.oplog.filter.threshold";
// true, false
public static final String DEFAULT_MATRIX_OPLOG_FILTER_THRESHOLD = "0.0";
/**
* staleness value
*/
public static final String MATRIX_STALENESS = "matrix.staleness";
/**
* Is we need divide oplog by task number. "true" means need, "false" means does not need.
*/
public static final String MATRIX_AVERAGE = "matrix.average";
public static final String DEFAULT_MATRIX_AVERAGE = "false";
/**
* enable hogwild mode. "true" means enable, "false" means disable
*/
public static final String MATRIX_HOGWILD = "matrix.hogwild";
public static final String DEFAULT_MATRIX_HOGWILD = "false";
/**
* existed matrix data files path
*/
public static final String MATRIX_LOAD_PATH = "matrix.load.path";
public static final String DEFAULT_MATRIX_LOAD_PATH = "";
/**
* matrix data files save path
*/
public static final String MATRIX_SAVE_PATH = "matrix.save.path";
public static final String DEFAULT_MATRIX_SAVE_PATH = "";
public static final String VALUE_TYPE_CLASSNANE = "matrix.value.type.classname";
public static final String PS_MATRIX_PARTITION_CLASSNANE = "ps.matrix.partition.classname";
public static final String DEFAULT_PS_MATRIX_PARTITION_CLASSNANE = RowBasedPartition.class
.getName();
}