MLConf

Value Members

final def !=(arg0: Any): Boolean

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final def ##(): Int

Definition Classes
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final def ==(arg0: Any): Boolean

Definition Classes
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val ANGEL_COMPRESS_BYTES: String
val ANGEL_ML_INC_TRAIN: String
val ANGEL_ML_PREDICT: String
val ANGEL_ML_TRAIN: String
val ANGEL_WORKER_THREAD_NUM: String
val DEFAULT_ANGEL_COMPRESS_BYTES: Int
val DEFAULT_ANGEL_WORKER_THREAD_NUM: Int
val DEFAULT_LR_USE_INTERCEPT: Boolean
val DEFAULT_ML_BATCH_SAMPLE_RATIO: Double
val DEFAULT_ML_DATA_FORMAT: String
val DEFAULT_ML_DATA_HAS_LABEL: Boolean
val DEFAULT_ML_DATA_IS_CLASSIFICATION: Boolean
val DEFAULT_ML_DATA_IS_NEGY: Boolean
val DEFAULT_ML_DATA_SPLITOR: String
val DEFAULT_ML_EPOCH_NUM: Int
val DEFAULT_ML_FEATURE_INDEX_RANGE: Int
val DEFAULT_ML_FM_LEARN_TYPE: String
val DEFAULT_ML_FM_RANK: Int
val DEFAULT_ML_FM_REG_L1_V: Double
val DEFAULT_ML_FM_REG_L1_W: Double
val DEFAULT_ML_FM_REG_L2_V: Double
val DEFAULT_ML_FM_REG_L2_W: Double
val DEFAULT_ML_FM_V_INIT: Double
val DEFAULT_ML_FTRL_ALPHA: Int
val DEFAULT_ML_FTRL_BATCH_SIZE: Int
val DEFAULT_ML_FTRL_BETA: Int
val DEFAULT_ML_FTRL_LAMBDA1: Double
val DEFAULT_ML_FTRL_LAMBDA2: Double
val DEFAULT_ML_GBDT_BATCH_NUM: Int
val DEFAULT_ML_GBDT_CATE_FEAT: String
val DEFAULT_ML_GBDT_CLASS_NUM: Int
val DEFAULT_ML_GBDT_MIN_CHILD_WEIGHT: Double
val DEFAULT_ML_GBDT_PARALLEL_MODE: String
val DEFAULT_ML_GBDT_REG_ALPHA: Int
val DEFAULT_ML_GBDT_REG_LAMBDA: Double
val DEFAULT_ML_GBDT_ROW_SAMPLE_RATIO: Int
val DEFAULT_ML_GBDT_SAMPLE_RATIO: Int
val DEFAULT_ML_GBDT_SERVER_SPLIT: Boolean
val DEFAULT_ML_GBDT_SPLIT_NUM: Int
val DEFAULT_ML_GBDT_TASK_TYPE: String
val DEFAULT_ML_GBDT_THREAD_NUM: Int
val DEFAULT_ML_GBDT_TREE_DEPTH: Int
val DEFAULT_ML_GBDT_TREE_NUM: Int
val DEFAULT_ML_LEARN_DECAY: Double
val DEFAULT_ML_LEARN_RATE_BOUND: Int
val DEFAULT_ML_LEAR_RATE: Double
val DEFAULT_ML_LR_REG_L1: Double
val DEFAULT_ML_LR_REG_L2: Double
val DEFAULT_ML_MF_ETA: Double
val DEFAULT_ML_MF_ITEM_NUM: Int
val DEFAULT_ML_MF_LAMBDA: Double
val DEFAULT_ML_MF_RANK: Int
val DEFAULT_ML_MF_ROW_BATCH_NUM: Int
val DEFAULT_ML_MINIBATCH_SIZE: Int
val DEFAULT_ML_MLR_RANK: Int
val DEFAULT_ML_MLR_REG_L2: Double
val DEFAULT_ML_MLR_V_INIT: Double
val DEFAULT_ML_MODEL_CONVERT_THREAD_COUNT: Int
val DEFAULT_ML_MODEL_PART_PER_SERVER: Int
val DEFAULT_ML_MODEL_SIZE: Int
val DEFAULT_ML_MODEL_TYPE: String
val DEFAULT_ML_NEGATIVE_SAMPLE_WEIGHT: Double
val DEFAULT_ML_NUM_UPDATE_PER_EPOCH: Int
val DEFAULT_ML_OPT_ADADELTA_RHO: Double
val DEFAULT_ML_OPT_ADAMM_PHI: Double
val DEFAULT_ML_OPT_ADAMM_RHO: Double
val DEFAULT_ML_OPT_METHOD: String
val DEFAULT_ML_OPT_MOMENTUM_RHO: Double
val DEFAULT_ML_OPT_RMSPROP_RHO: Double
val DEFAULT_ML_POSITIVE_SAMPLE_WEIGHT: Double
val DEFAULT_ML_PULL_WITH_INDEX_ENABLE: Boolean
val DEFAULT_ML_REG_LOSS_TYPE: String
val DEFAULT_ML_SVM_REG_L2: Double
val DEFAULT_ML_VALIDATE_RATIO: Double
val KMEANS_CENTER_NUM: String
val KMEANS_SAMPLE_RATIO_PERBATCH: String
val LOG_LIKELIHOOD: String
val LR_USE_INTERCEPT: String
val ML_BATCH_SAMPLE_RATIO: String
val ML_DATA_HAS_LABEL: String
val ML_DATA_INPUT_FORMAT: String
val ML_DATA_IS_CLASSIFICATION: String
val ML_DATA_IS_NEGY: String
val ML_DATA_SPLITOR: String
val ML_EPOCH_NUM: String
val ML_FEATURE_INDEX_RANGE: String
val ML_FM_LEARN_TYPE: String
val ML_FM_RANK: String
val ML_FM_REG_L1_V: String
val ML_FM_REG_L1_W: String
val ML_FM_REG_L2_V: String
val ML_FM_REG_L2_W: String
val ML_FM_V_STDDEV: String
val ML_FTRL_ALPHA: String
val ML_FTRL_BATCH_SIZE: String
val ML_FTRL_BETA: String
val ML_FTRL_LAMBDA1: String
val ML_FTRL_LAMBDA2: String
val ML_GBDT_BATCH_NUM: String
val ML_GBDT_CATE_FEAT: String
val ML_GBDT_CLASS_NUM: String
val ML_GBDT_MAX_NODE_NUM: String
val ML_GBDT_MIN_CHILD_WEIGHT: String
val ML_GBDT_PARALLEL_MODE: String
val ML_GBDT_REG_ALPHA: String
val ML_GBDT_REG_LAMBDA: String
val ML_GBDT_ROW_SAMPLE_RATIO: String
val ML_GBDT_SAMPLE_RATIO: String
val ML_GBDT_SERVER_SPLIT: String
val ML_GBDT_SPLIT_NUM: String
val ML_GBDT_TASK_TYPE: String
val ML_GBDT_THREAD_NUM: String
val ML_GBDT_TREE_DEPTH: String
val ML_GBDT_TREE_NUM: String
val ML_LEARN_DECAY: String
val ML_LEARN_RATE: String
val ML_LEARN_RATE_BOUND: String
val ML_LR_REG_L1: String
val ML_LR_REG_L2: String
val ML_MF_ETA: String
val ML_MF_ITEM_NUM: String
val ML_MF_LAMBDA: String
val ML_MF_RANK: String
val ML_MF_ROW_BATCH_NUM: String
val ML_MF_USER_MODEL_OUTPUT_PATH: String
val ML_MINIBATCH_SIZE: String
val ML_MLR_RANK: String
val ML_MLR_REG_L2: String
val ML_MLR_V_INIT: String
val ML_MODEL_CONVERT_THREAD_COUNT: String
val ML_MODEL_NAME: String
val ML_MODEL_PART_PER_SERVER: String
val ML_MODEL_SIZE: String
val ML_MODEL_TYPE: String
val ML_NEGATIVE_SAMPLE_WEIGHT: String
val ML_NUM_UPDATE_PER_EPOCH: String
val ML_OPT_ADADELTA_RHO: String
val ML_OPT_ADAMM_PHI: String
val ML_OPT_ADAMM_RHO: String
val ML_OPT_METHOD: String
val ML_OPT_MOMENTUM_RHO: String
val ML_OPT_RMSPROP_RHO: String
val ML_POSITIVE_SAMPLE_WEIGHT: String
val ML_PULL_WITH_INDEX_ENABLE: String
val ML_REG_LOSS_TYPE: String
val ML_SVM_REG_L2: String
val ML_VALIDATE_RATIO: String
val TRAIN_ERROR: String

The predict error of all samples
val TRAIN_LOSS: String

The loss sum of all samples
val VALID_ERROR: String
val VALID_LOSS: String
final def asInstanceOf[T0]: T0

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def clone(): AnyRef

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@throws( ... )
final def eq(arg0: AnyRef): Boolean

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def equals(arg0: Any): Boolean

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def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
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@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
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def hashCode(): Int

Definition Classes
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final def isInstanceOf[T0]: Boolean

Definition Classes
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val kMEANS_C: String
final def ne(arg0: AnyRef): Boolean

Definition Classes
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final def notify(): Unit

Definition Classes
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final def notifyAll(): Unit

Definition Classes
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final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
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def toString(): String

Definition Classes
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final def wait(): Unit

Definition Classes
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Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
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Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
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@throws( ... )

Related Docs: class MLConf | package conf

object MLConf

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

val ANGEL_COMPRESS_BYTES: String

val ANGEL_ML_INC_TRAIN: String

val ANGEL_ML_PREDICT: String

val ANGEL_ML_TRAIN: String

val ANGEL_WORKER_THREAD_NUM: String

val DEFAULT_ANGEL_COMPRESS_BYTES: Int

val DEFAULT_ANGEL_WORKER_THREAD_NUM: Int

val DEFAULT_LR_USE_INTERCEPT: Boolean

val DEFAULT_ML_BATCH_SAMPLE_RATIO: Double

val DEFAULT_ML_DATA_FORMAT: String

val DEFAULT_ML_DATA_HAS_LABEL: Boolean

val DEFAULT_ML_DATA_IS_CLASSIFICATION: Boolean

val DEFAULT_ML_DATA_IS_NEGY: Boolean

val DEFAULT_ML_DATA_SPLITOR: String

val DEFAULT_ML_EPOCH_NUM: Int

val DEFAULT_ML_FEATURE_INDEX_RANGE: Int

val DEFAULT_ML_FM_LEARN_TYPE: String

val DEFAULT_ML_FM_RANK: Int

val DEFAULT_ML_FM_REG_L1_V: Double

val DEFAULT_ML_FM_REG_L1_W: Double

val DEFAULT_ML_FM_REG_L2_V: Double

val DEFAULT_ML_FM_REG_L2_W: Double

val DEFAULT_ML_FM_V_INIT: Double

val DEFAULT_ML_FTRL_ALPHA: Int

val DEFAULT_ML_FTRL_BATCH_SIZE: Int

val DEFAULT_ML_FTRL_BETA: Int

val DEFAULT_ML_FTRL_LAMBDA1: Double

val DEFAULT_ML_FTRL_LAMBDA2: Double

val DEFAULT_ML_GBDT_BATCH_NUM: Int

val DEFAULT_ML_GBDT_CATE_FEAT: String

val DEFAULT_ML_GBDT_CLASS_NUM: Int

val DEFAULT_ML_GBDT_MIN_CHILD_WEIGHT: Double

val DEFAULT_ML_GBDT_PARALLEL_MODE: String

val DEFAULT_ML_GBDT_REG_ALPHA: Int

val DEFAULT_ML_GBDT_REG_LAMBDA: Double

val DEFAULT_ML_GBDT_ROW_SAMPLE_RATIO: Int

val DEFAULT_ML_GBDT_SAMPLE_RATIO: Int

val DEFAULT_ML_GBDT_SERVER_SPLIT: Boolean

val DEFAULT_ML_GBDT_SPLIT_NUM: Int

val DEFAULT_ML_GBDT_TASK_TYPE: String

val DEFAULT_ML_GBDT_THREAD_NUM: Int

val DEFAULT_ML_GBDT_TREE_DEPTH: Int

val DEFAULT_ML_GBDT_TREE_NUM: Int

val DEFAULT_ML_LEARN_DECAY: Double

val DEFAULT_ML_LEARN_RATE_BOUND: Int

val DEFAULT_ML_LEAR_RATE: Double

val DEFAULT_ML_LR_REG_L1: Double

val DEFAULT_ML_LR_REG_L2: Double

val DEFAULT_ML_MF_ETA: Double

val DEFAULT_ML_MF_ITEM_NUM: Int

val DEFAULT_ML_MF_LAMBDA: Double

val DEFAULT_ML_MF_RANK: Int

val DEFAULT_ML_MF_ROW_BATCH_NUM: Int

val DEFAULT_ML_MINIBATCH_SIZE: Int

val DEFAULT_ML_MLR_RANK: Int

val DEFAULT_ML_MLR_REG_L2: Double

val DEFAULT_ML_MLR_V_INIT: Double

val DEFAULT_ML_MODEL_CONVERT_THREAD_COUNT: Int

val DEFAULT_ML_MODEL_PART_PER_SERVER: Int

val DEFAULT_ML_MODEL_SIZE: Int

val DEFAULT_ML_MODEL_TYPE: String

val DEFAULT_ML_NEGATIVE_SAMPLE_WEIGHT: Double

val DEFAULT_ML_NUM_UPDATE_PER_EPOCH: Int

val DEFAULT_ML_OPT_ADADELTA_RHO: Double

val DEFAULT_ML_OPT_ADAMM_PHI: Double

val DEFAULT_ML_OPT_ADAMM_RHO: Double

val DEFAULT_ML_OPT_METHOD: String

val DEFAULT_ML_OPT_MOMENTUM_RHO: Double

val DEFAULT_ML_OPT_RMSPROP_RHO: Double

val DEFAULT_ML_POSITIVE_SAMPLE_WEIGHT: Double

val DEFAULT_ML_PULL_WITH_INDEX_ENABLE: Boolean

val DEFAULT_ML_REG_LOSS_TYPE: String

val DEFAULT_ML_SVM_REG_L2: Double