Oracle 视图 ALL_MINING_MODELS 官方解释,作用,如何使用详细说明
本站中文解释
Oracle视图ALL_MINING_MODELS用来查询拥有者(Owner)所拥有的所有数据挖掘模型的信息。ALL_MINING_MODELS视图中的所有列的信息如下:
OWNER:当前模型的拥有者
MODEL_NAME:模型的名称
ALGORITHM:模型使用的算法
PRE_PROCESSING: 预处理算法
TRAINING_DATA_SOURCES:用于训练模型的数据源
TRAINING_DATA_PERCENT:用于训练模型的数据量占比
CREATION_TIME:模型创建的时间
LAST_SUCCESSFUL_REBUILD_TIME:最后一次重建模型的成功时间
SCORE_DATA_PERCENT:用于计算模型分数的数据量占比
使用方法:
可以使用SELECT语句从ALL_MINING_MODELS视图中提取指定模型的信息。例如:
SELECT * FROM all_mining_models
WHERE owner = ‘TEST_USER’
AND model_name = ‘SALES_MODEL’;
官方英文解释
ALL_MINING_MODELS
describes the machine learning models accessible to the current user.
Mining models are schema objects created by Oracle Machine Learning for SQL.
Related Views
-
DBA_MINING_MODELS
describes all machine learning models in the database. -
USER_MINING_MODELS
describes the machine learning models owned by the current user. This view does not display theOWNER
column.
Column | Datatype | NULL | Description |
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Owner of the machine learning model |
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Name of the machine learning model |
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Function of the mining model. The function identifies the class of problems that can be solved by this model. The machine learning function is specified when the model is built:
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Algorithm used by the model. Each machine learning function has a default algorithm. The default can be overridden with a model setting (see
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Algorithm type of the model |
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Date that the model was created |
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Time (in seconds) of the model build process |
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Size of the model (in megabytes) |
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Indicates whether the model is partitioned or not. Possible values:
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Comment applied to the model with a SQL |
See Also:
-
Oracle Machine Learning
for SQL API Guide for information about machine learning model schema objects -
Oracle Machine Learning
for SQL Concepts for an introduction to Oracle Machine Learning for SQL