auto_log_co2: Default(True) - automatically tracks the CO2 emission of this experiment if codecarbon package is installed in the environment.The default is "default" which will detect your environment and deactivate the output logging for IPython and Jupyter environment and sets "native" in the other cases. If you want to disable automatic output logging, you can pass False. You can also pass "simple" which will work only for output made by Python code. You can pass "native" which will log all output even when it originated from a C native library. auto_output_logging: Default("default") - allows you to select which output logging mode to use.auto_histogram_activation_logging: Default(False) - allows you to enable/disable automatic histogram logging of activations.auto_histogram_gradient_logging: Default(False) - allows you to enable/disable automatic histogram logging of gradients.auto_histogram_weight_logging: Default(False) - allows you to enable/disable histogram logging for biases and weights.auto_histogram_epoch_rate: Default(1) - controls how often histograms are logged.auto_histogram_tensorboard_logging: Default(False) - allows you to enable/disable automatic tensorboard histogram logging.auto_metric_step_rate: Default(10) - controls how often batch metrics are logged.auto_metric_logging: Default(True) - allows you to enable/disable metrics logging.auto_param_logging: Default(True) - allows you to enable/disable hyper parameters logging.log_graph: Default(True) - allows you to enable/disable automatic computation graph logging.log_code: Default(True) - allows you to enable/disable code logging.Attach an experiment to a project that belongs to this workspace If project name does not already exists Comet.ml will create a new project. Otherwise will be sent to Uncategorized Experiments. Send your experiment to a specific project. _init_ ( api_key = None, project_name = None, workspace = None, log_code = True, log_graph = True, auto_param_logging = True, auto_metric_logging = True, parse_args = True, auto_output_logging = "default", log_env_details = True, log_git_metadata = True, log_git_patch = True, disabled = False, log_env_gpu = True, log_env_host = True, display_summary = None, log_env_cpu = True, log_env_network = True, log_env_disk = True, display_summary_level = None, optimizer_data = None, auto_weight_logging = None, auto_log_co2 = True, auto_metric_step_rate = 10, auto_histogram_tensorboard_logging = False, auto_histogram_epoch_rate = 1, auto_histogram_weight_logging = False, auto_histogram_gradient_logging = False, auto_histogram_activation_logging = False, experiment_key = None )Ĭreates a new experiment on the Comet.ml frontend. Linux Self-Hosted installation Linux Self-Hosted installation.Machine learning frameworks Machine learning frameworks.JavaScript Panels SDK JavaScript Panels SDK.Python SDK reference Python SDK reference.Work with Large Language Models Work with Large Language Models. Write custom visualizations Write custom visualizations.Use Comet in your workflows Use Comet in your workflows.
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