- conn : CAS
Specifies the CAS connection object.
- image_table: imageTable
Specifies name of CASTable that contains images to be used for training
- features_model : dlpy Model object
Specifies CNN model to use for extracting features
- captions_file : string
Specifies absolute path to file containing image filenames and captions
Client should have access to this file.
- obj_detect_model : CASTable or string, optional
Specifies CASTable containing model parameters for the object detection model
Default : None
- word_embeddings_file : string, optional
Specifies full path to file containing pre-trained word vectors to be used for text generation.
This file should be accessible from the client.
Required if obj_detect_model is not None
Default : None
- num_captions : int, optional
Specifies number of captions for each image in the captions file
Default : 5
- dense_layer: string, optional
Specifies layer from CNN model to extract features from
Default : ‘fc7’
- captions_delimiter : string, optional
Specifies delimiter between filenames and captions in the image captions text file
Default : ‘ ‘
- caption_col_name : string, optional
Specifies base name for column names for the columns containing captions
Default : ‘Var’
- embeddings_delimiter : string, optional
Specifies delimiter used in word embeddings file
Default : ‘ ‘
- n_threads : int, optional
Specifies the number of threads to use when scoring the table. All cores available used when
nothing is set.
Default : None
- gpu : Gpu, optional
When specified, specifies which gpu to use when scoring the table. GPU=1 uses all available
GPU devices and default parameters.
Default : None