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Bootstrapping a Collaborative Filtering Model
Bootstrapping a Collaborative Filtering Model Bootstrapping a Collaborative Filtering Model The biggest challenge with using collaborative filtering models in practice is the b... -
Model options and table metadata
Model options and table metadata Meta.primary_key Table Names Model options and table metadata In order not to pollute the model namespace, model-specific configuration is pl... -
GS_OPT_MODEL
GS_OPT_MODEL GS_OPT_MODEL GS_OPT_MODEL是启用AiEngine执行计划时间预测功能时的数据表，记录机器学习模型的配置、训练结果、功能、对应系统函数、训练历史等相关信息。 表 1 GS_OPT_MODEL字段 名称 类型 描述 template_name name 机器学习模型... -
PostgreSQL specific model indexes
PostgreSQL specific model indexes BloomIndex BrinIndex BTreeIndex GinIndex GistIndex HashIndex SpGistIndex OpClass() expressions PostgreSQL specific model index... -
Using Beans with a PolymerTemplate Model
Using Beans with a PolymerTemplate Model Using Beans with a PolymerTemplate Model For an introduction to templates see Creating A Simple Component Using the Template API and t... -
save_inference_model
save_inference_model save_inference_model paddle.static. save_inference_model ( path_prefix, feed_vars, fetch_vars, executor, **kwargs ) [源代码] 将模型及其参数保存到指定的路径。例如，path_prefix=... -
GS_OPT_MODEL
GS_OPT_MODEL GS_OPT_MODEL GS_OPT_MODEL是启用AiEngine执行计划时间预测功能时的数据表，记录机器学习模型的配置、训练结果、功能、对应系统函数、训练历史等相关信息。 表 1 GS_OPT_MODEL字段 名称 类型 描述 template_name name 机器学习模型... -
Wide data-model
Wide-table model JOINs with relational data Wide-table model TimescaleDB easily supports wide-table models. Queries across multiple metrics are easier in this model, since they... -
load_inference_model
load_inference_model load_inference_model paddle.fluid.io. load_inference_model (dirname, executor, model_filename=None, params_filename=None, pserver_endpoints=None)[源代码] ... -
model_base.py
model_base.py model_base.py 定义了继承自 oslo.db.sqlalchemy.models.ModelBase的NeutronBase 和继承自其的 NeutronBaseV2 类。 实际上，oslo.db.sqlalchemy.models.ModelBase是sqlalchemy的模型基础类，因此继承自其的类自...