Loading a Pre-Trained Model From Another Database

You can load models from a different database other than the one used for login.

You can load a pre-trained model from a model store table in database as described in the following code:

opg4j> var model = analyst.<modelLoader>.db().
                username("user").             // DB user to use for storing the model
                password("password").         // password of the DB user
                jdbcUrl("jdbcUrl").           // jdbc url to the DB
                modelstore("modeltablename"). // name of the model store table
                modelname("model").           // model name (primary key of model store table)
                load()

where <modelLoader> applies as follows:

loadDeepWalkModel(): Loads a Deepwalk model
loadSupervisedGraphWiseModel(): Loads a Supervised GraphWise model
loadUnsupervisedGraphWiseModel(): Loads an Unsupervised GraphWise model
loadSupervisedEdgeWiseModel(): Loads a Supervised EdgeWise model
loadUnsupervisedEdgeWiseModel(): Loads an Unsupervised EdgeWise model
loadUnsupervisedAnomalyDetectionGraphWiseModel(): Loads an Unsupervised Anomaly Detection GraphWise model
loadPg2vecModel(): Loads a Pg2vec model

<modeltype> model = analyst.<modelLoader>.db()
     .username("user")             // DB user to use for storing the model
     .password("password")         // password of the DB user
     .jdbcUrl("jdbcUrl")           // jdbc url to the DB
     .modelstore("modeltablename") // name of the model store table
     .modelname("model")           // model name (primary key of model store table)
     .load();

where <modeltype> can have the following values based on the model to be loaded:

DeepWalkModel: represents a Deepwalk model
SupervisedGraphWiseModel: represents a Supervised GraphWise model
UnsupervisedGraphWiseModel: represents an Unsupervised GraphWise model
SupervisedEdgeWiseModel: represents a Supervised EdgeWise model
UnsupervisedEdgeWiseModel: represents an Unsupervised EdgeWise model
UnsupervisedAnomalyDetectionGraphWiseModel: represents an Unsupervised Anomaly Detection GraphWise model
Pg2vecModel: represents a Pg2vec model

where <modelLoader> applies as follows:

loadDeepWalkModel(): Loads a Deepwalk model
loadSupervisedGraphWiseModel(): Loads a Supervised GraphWise model
loadUnsupervisedGraphWiseModel(): Loads an Unsupervised GraphWise model
loadSupervisedEdgeWiseModel(): Loads a Supervised EdgeWise model
loadUnsupervisedEdgeWiseModel(): Loads an Unsupervised EdgeWise model
loadUnsupervisedAnomalyDetectionGraphWiseModel(): Loads an Unsupervised Anomaly Detection GraphWise model
loadPg2vecModel(): Loads a Pg2vec model

model = analyst.<modelLoader>.db(model_store="modelstoretablename",  # name of the model store table
                  model_name="model",                 # model name (primary key of model store table)
                  username="user",                    # DB user to use for storing the model
                  password="password",                # password of the DB user
                  jdbc_url="jdbc_url")                # jdbc url to the DB

where <modelLoader> applies as follows:

get_deepwalk_model_loader(): Loads a Deepwalk model
get_supervised_graphwise_model_loader(): Loads a Supervised GraphWise model
get_unsupervised_graphwise_model_loader(): Loads an Unsupervised GraphWise model
get_supervised_edgewise_model_loader(): Loads a Supervised EdgeWise model
get_unsupervised_edgewise_model_loader(): Loads an Unsupervised EdgeWise model
get_unsupervised_anomaly_detection_graphwise_model_loader(): Loads an Unsupervised Anomaly Detection GraphWise model
get_pg2vec_model_loader(): Loads a Pg2vec model