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SNMP クラス 12638
« snmpwalkoid SNMP::close » PHP Manual SNMP SNMP クラス 検索 SNMP クラス (PHP 5 >= 5.4.0, PHP 7, PHP 8) はじめに SNMP セッションを表します。 クラス概要 class SNMP { /* 定数 */ public const int VERSION_1 ; public const int VERSION_2c ; publi ... nt ERRNO_GENERIC ; public const int ERRNO_TIMEOUT ; public const int ERRNO_ERROR_IN_REPLY ; public const int ERRNO_OID_NOT_INCREASING ; public const int ERRNO_OID_PARSING_ERROR ; public const int ERRNO_MULTIPLE_SET_QUERIES ; /* プロパティ */ public readonl ... valueretrieval ; public bool $ quick_print ; public bool $ enum_print ; public int $ oid_output_format ; public bool $ oid_increasing_check ; public int $ exceptions_enabled ; /* メソッド */ public function __construct ( int $version , string $hostname , s ... _OUTPUT_SUFFIX sysUpTimeInstance SNMP_OID_OUTPUT_UCD system.sysUpTime.sysUpTimeInstance SNMP_OID_OUTPUT_NONE Undefined oid_increasing_check OID ツリーを走査中の OID 増加チェックの無効化 SNMP エージェントの中には、 OID を返す順番がおかしくても走査はできると ...
https://man.mtool.work/php/8.3/class.snmp.html
Predict a value for previously unseen data 11658
« SVMModel::load SVMModel::predict_probability » PHP Manual SVMModel Predict a value for previously unseen data 検索 SVMModel::predict (PECL svm >= 0.1.0) SVMModel::predict — Predict a value for previously unseen data 説明 public function S ... from previously trained data. パラメータ data The array to be classified. This should be a series of key => value pairs in increasing key order, but not necessarily continuous. 戻り値 Float the predicted value. This will be a class label in the case of cla ... edict unseen regression based case load probability float accepts attempts model extracted trained classified series pairs increasing order necessarily continuous Float predicted ...
https://man.mtool.work/php/8.3/svmmodel.predict.html
SNMP クラス 11448
« snmpwalkoid SNMP::close » PHP Manual SNMP SNMP クラス 検索 SNMP クラス (PHP 5 >= 5.4.0, PHP 7, PHP 8) はじめに SNMP セッションを表します。 クラス概要 class SNMP { /* 定数 */ public const int VERSION_1 ; public const int VERSION_2c ; publi ... nt ERRNO_GENERIC ; public const int ERRNO_TIMEOUT ; public const int ERRNO_ERROR_IN_REPLY ; public const int ERRNO_OID_NOT_INCREASING ; public const int ERRNO_OID_PARSING_ERROR ; public const int ERRNO_MULTIPLE_SET_QUERIES ; /* プロパティ */ public readonl ... valueretrieval ; public bool $ quick_print ; public bool $ enum_print ; public int $ oid_output_format ; public bool $ oid_increasing_check ; public int $ exceptions_enabled ; /* メソッド */ public function __construct ( int $version , string $hostname , s ... _OUTPUT_SUFFIX sysUpTimeInstance SNMP_OID_OUTPUT_UCD system.sysUpTime.sysUpTimeInstance SNMP_OID_OUTPUT_NONE Undefined oid_increasing_check OID ツリーを走査中の OID 増加チェックの無効化 SNMP エージェントの中には、 OID を返す順番がおかしくても走査はできると ...
https://man.mtool.work/php/8.3/class.snmp.html
Predict a value for previously unseen data 8892
« SVMModel::load SVMModel::predict_probability » PHP Manual SVMModel Predict a value for previously unseen data 検索 SVMModel::predict (PECL svm >= 0.1.0) SVMModel::predict — Predict a value for previously unseen data 説明 public function S ... from previously trained data. パラメータ data The array to be classified. This should be a series of key => value pairs in increasing key order, but not necessarily continuous. 戻り値 Float the predicted value. This will be a class label in the case of cla ...
https://man.mtool.work/php/8.3/svmmodel.predict.html
Return class probabilities for previous unseen data 8489
« SVMModel::predict SVMModel::save » PHP Manual SVMModel Return class probabilities for previous unseen data 検索 SVMModel::predict_probability (PECL svm >= 0.1.4) SVMModel::predict_probability — Return class probabilities for previous unse ... bility parameter set to true. パラメータ data The array to be classified. This should be a series of key => value pairs in increasing key order, but not necessarily continuous. probabilities The supplied value will be filled with the probabilities. This wi ...
https://man.mtool.work/php/8.3/svmmodel.predict-probability.html
Return class probabilities for previous unseen data 8489
« SVMModel::predict SVMModel::save » PHP Manual SVMModel Return class probabilities for previous unseen data 検索 SVMModel::predict_probability (PECL svm >= 0.1.4) SVMModel::predict_probability — Return class probabilities for previous unse ... bility parameter set to true. パラメータ data The array to be classified. This should be a series of key => value pairs in increasing key order, but not necessarily continuous. probabilities The supplied value will be filled with the probabilities. This wi ...
https://man.mtool.work/php/8.3/svmmodel.predict-probability.html
Create a node synchronously 8087
« Zookeeper::__construct Zookeeper::delete » PHP Manual Zookeeper Create a node synchronously 検索 Zookeeper::create (PECL zookeeper >= 0.1.0) Zookeeper::create — Create a node synchronously 説明 public function Zookeeper::create ( string $ ... de will automatically get removed if the client session goes away. If the ZOO_SEQUENCE flag is set, a unique monotonically increasing sequence number is appended to the path name. パラメータ path The name of the node. Expressed as a file name with slashes ...
https://man.mtool.work/php/8.3/zookeeper.create.html
Create a node synchronously 8087
« Zookeeper::__construct Zookeeper::delete » PHP Manual Zookeeper Create a node synchronously 検索 Zookeeper::create (PECL zookeeper >= 0.1.0) Zookeeper::create — Create a node synchronously 説明 public function Zookeeper::create ( string $ ... de will automatically get removed if the client session goes away. If the ZOO_SEQUENCE flag is set, a unique monotonically increasing sequence number is appended to the path name. パラメータ path The name of the node. Expressed as a file name with slashes ...
https://man.mtool.work/php/8.3/zookeeper.create.html
例 7894
« インストール手順 SVM » PHP Manual SVM 例 検索 例 The basic process is to define parameters, supply training data to generate a model on, then make predictions based on the model. There are a default set of parameters that should get some ... ng example, which must be formatted as an integer class (usually 1 and -1) followed by a series of feature/value pairs, in increasing feature order. The features are integers, the values floats, usually scaled 0-1. For example: -1 1:0.43 3:0.12 9284:0.2 In ...
https://man.mtool.work/php/8.3/svm.examples.html
例 7894
« インストール手順 SVM » PHP Manual SVM 例 検索 例 The basic process is to define parameters, supply training data to generate a model on, then make predictions based on the model. There are a default set of parameters that should get some ... ng example, which must be formatted as an integer class (usually 1 and -1) followed by a series of feature/value pairs, in increasing feature order. The features are integers, the values floats, usually scaled 0-1. For example: -1 1:0.43 3:0.12 9284:0.2 In ...
https://man.mtool.work/php/8.3/svm.examples.html
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