Type: Package
Title: MLOps Metadata Store - Experiment Tracking and Model Registry for Production Teams
Version: 0.2.3
Maintainer: Rafal Jankowski <rafal.jankowski@neptune.ai>
Description: An interface to Neptune. A metadata store for MLOps, built for teams that run a lot of experiments. It gives you a single place to log, store, display, organize, compare, and query all your model-building metadata. Neptune is used for: • Experiment tracking: Log, display, organize, and compare ML experiments in a single place. • Model registry: Version, store, manage, and query trained models, and model building metadata. • Monitoring ML runs live: Record and monitor model training, evaluation, or production runs live For more information see https://neptune.ai/.
License: Apache License 2.0 | file LICENSE
URL: https://github.com/neptune-ai/neptune-r
BugReports: https://github.com/neptune-ai/neptune-r/issues
Encoding: UTF-8
SystemRequirements: Python (>= 3.0.0), Neptune (https://neptune.ai/)
Imports: reticulate (≥ 1.22), this.path (≥ 0.4.4), rstudioapi (≥ 0.7), ggplot2 (≥ 3.3.5), plotly (≥ 4.9.4.1), htmlwidgets (≥ 1.5.3), methods
NeedsCompilation: no
Packaged: 2022-04-13 09:19:40 UTC; neptune
Author: Mateusz Dominiak [aut], Rafal Jankowski [aut, cre]
Repository: CRAN
Date/Publication: 2022-04-13 10:00:02 UTC

Assigns the provided value to the field.

Description

Assigns the provided value to the field.

Arguments

x

Neptune Run object

i

string, name of the field to set

value

value which is assigned to field

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")
run['epochs'] <- 100

## End(Not run)

Field lookup

Description

Field lookup. You can access any run's field through a named-list-like field lookup run[field_path]. As well as fetch already tracked metadata - fetching parameters when resuming a run or downloading metadata for a custom analysis using functions like neptune_fetch

Arguments

x

Neptune Run object

i

string, name of the field to set

Value

Field

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")
run['epochs'] <- 100
run['epochs']

## End(Not run)

Adds the provided tag or tags to the run's tags.

Description

Adds the provided tag or tags to the run's tags.

Usage

neptune_add(x, values, wait=FALSE)

Arguments

x

Field for which we want to add tags eg. run['sys/tags']

values

string or list of strings - Tag or tags to be added.

wait

logical - If TRUE the client will wait to send all tracked metadata to the server before making the assignment. This makes the call synchronous.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")
neptune_add(run['sys/tags'], 'lgbm')

## End(Not run)

Assigns the provided value to the field.

Description

Assigns the provided value to the field.

Usage

neptune_assign(x, value, wait=FALSE)

Arguments

x

Field or run, for which we want to assign the value

value

Value to be stored in a field.

wait

logical - If TRUE the client will wait to send all tracked metadata to the server. This makes the call synchronous.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")
neptune_assign(run['parameters'], list(epochs=100, lr=0.01))

## End(Not run)

Removes all tags from the StringSet.

Description

Removes all tags from the StringSet.

Usage

  neptune_clear(x, wait=FALSE)

Arguments

x

Field

wait

logical - If TRUE the client will wait to send all tracked metadata to the server before making the assignment. This makes the call synchronous.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

  ## Not run: 
    run <- neptune_init(api_token = 'ANONYMOUS',
                        project = "common-r/quickstarts")
    neptune_clear(run['sys/tags'])
  
## End(Not run)

Delete the file or files specified by paths from the FileSet stored on the Neptune servers.

Description

Delete the file or files specified by paths from the FileSet stored on the Neptune servers.

Usage

  neptune_delete_files(x, paths, wait=FALSE)

Arguments

x

Field

paths

character or vector of characters - Path or paths to files or folders to be deleted. Note that these are paths relative to the FileSet itself e.g. if the FileSet contains file example.txt, varia/notes.txt, varia/data.csv to delete whole subfolder you would pass varia as the argument.

wait

logical - If TRUE the client will wait to send all tracked metadata to the server before making the assignment. This makes the call synchronous.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

  ## Not run: 
    run <- neptune_init(api_token = 'ANONYMOUS',
                        project = "common-r/quickstarts")
    neptune_delete_files(run['artifacts/images'], "path/to/file")
  
## End(Not run)

Downloads all the files that are referenced in the field.

Description

Downloads all the files that are referenced in the field.

Usage

neptune_download(x, destination)

Arguments

x

Field for which we want to download the files

destination

(character - The directory where the files will be downloaded. If NULL is passed, the files will be downloaded to the current working directory.

If destination is a directory, the file will be downloaded to the specified directory with a filename composed from field name and extension (if present).

If destination is a path to a file, the file will be downloaded under the specified name.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts",
                    run='AR-2', # Neptune Run ID of a run with artifact
                    mode='read-only')
neptune_download(run['artifacts/images'], destination='datasets/train/images')

## End(Not run)

Downloads the last File stored in the series from Neptune servers and save it locally.

Description

Downloads the last File stored in the series from Neptune servers and save it locally.

Usage

  neptune_download_last(x, destination=NULL)

Arguments

x

Field

destination

character - The directory where the file will be downloaded. If NULL is passed, the file will be downloaded to the current working directory. If destination is a directory, the file will be downloaded to the specified directory with a filename composed from field name and extension (if present). If destination is a path to a file, the file will be downloaded under the specified name.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

  ## Not run: 
    run <- neptune_init(api_token = 'ANONYMOUS',
                        project = "common-r/quickstarts")
    df <- neptune_download_last(run['train/predictions'])
  
## End(Not run)

Checks if there is any field or namespace under the specified path.

Description

Checks if there is any field or namespace under the specified path. Note that this method checks the local representation of the run. The field may have been created by another process (use neptune_sync(run) to synchronize local representation) or the metadata may have not reached the Neptune servers so it may be impossible to fetch (use neptune_wait(run) to wait for all tracking calls to finish).

Usage

  neptune_exists(run, path)

Arguments

run

Neptune run object.

path

character - The path to check for the existence of a field or a namespace

Value

logical - TRUE if field exists at path

Author(s)

Authors:

See Also

Useful links:

Examples

  ## Not run: 
    # We are using api token for an anonymous user neptuner. 
    # For your projects use your private token.
    run <- neptune_init(api_token = 'ANONYMOUS',
                        project = "common-r/quickstarts")
    run['lr'] <- 0.001
    neptune_exists(run, 'lr')
    neptune_exists(run, 'notlr')
  
## End(Not run)

Fetch values of all non-File Atom fields as a named list.

Description

Fetch values of all non-File Atom fields as a named list. The result will preserve the hierarchical structure of the run's metadata, but will contain only non-File Atom fields. You can use this method to quickly retrieve previous run's parameters.

Usage

neptune_fetch(x)

Arguments

x

Field or run, for which we want to fetch the value

Value

named list containing all non-File Atom fields values.

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
resumed_run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts",
                    run="HEL-3")
params <- neptune_fetch(resumed_run['model/paramaters'])
run_data <- neptune_fetch(resumed_run)
print(run_data)
# this will print out all Atom attributes stored in run as a dict

## End(Not run)

Fetches a list of artifact files from the Neptune servers.

Description

Fetches a list of artifact files from the Neptune servers.

Usage

  neptune_fetch_files_list(x)

Arguments

x

Field

Value

List of ArtifactFileData objects for all the files referenced in the artifacts. ArtifactFileDatahas the following fields that you can use: file_hash: str, Hash of the file file_path: str, URL of the file in the Neptune UI size: int, Size of the file in KB metadata: dict, dictionary with the following keys: file_path: a location (path) of the file either on local storage or S3-compatible storage last_modified: when was the last the artifact content was changed

Author(s)

Authors:

See Also

Useful links:

Examples

  ## Not run: 
    run <- neptune_init(project='<YOUR_WORKSPACE/YOUR_PROJECT>',
                        api_token='<YOUR_API_TOKEN>',
                        run='AR-2', # Neptune Run ID of a run with artifact
                        mode='read-only')
    artifact_list <- neptune_fetch_files_list(run['artifacts/images'])
    artifact_list[[1]]$file_hash
    artifact_list[[1]]$file_path
    artifact_list[[1]]$metadata['last_modified']
  
## End(Not run)

Fetches the Hash of the artifact from Neptune servers.

Description

Fetches the Hash of the artifact from Neptune servers.

Usage

  neptune_fetch_hash(x)

Arguments

x

Field

Value

Hash of a Neptune artifact as a character.

Author(s)

Authors:

See Also

Useful links:

Examples

  ## Not run: 
    # We are using api token for an anonymous user neptuner. 
    # For your projects use your private token.
    run <- neptune_init(api_token = 'ANONYMOUS',
                        project = "common-r/quickstarts")
    neptune_fetch_hash(run['artifacts/images'])
  
## End(Not run)

Fetches last value stored in the series from Neptune servers.

Description

Fetches last value stored in the series from Neptune servers.

Usage

  neptune_fetch_last(x)

Arguments

x

Field

Value

Last float value logged.

Author(s)

Authors:

See Also

Useful links:

Examples

  ## Not run: 
    run <- neptune_init(api_token = 'ANONYMOUS',
                        project = "common-r/quickstarts")
    last_auc_value <- neptune_fetch_last(run['metrics/auc'])
  
## End(Not run)

Retrieve runs matching the specified criteria.

Description

Retrieve runs matching the specified criteria. All parameters are optional, each of them specifies a single criterion. Only runs matching all of the criteria will be returned. Due to technical limitation only first 10,000 runs matching the criteria are fetched.

Usage

neptune_fetch_runs_table(project, id = NULL, state = NULL, owner = NULL, tag = NULL)

Arguments

project

string - project name

id

(string or vector of strings, optional, default is NULL) - A run's id like "SAN-1" or list of ids like c("SAN-1", "SAN-2"). Matching any element of the list is sufficient to pass the criterion.

state

(string or vector of strings, optional, default is NULL) - A run's state like "active" or list of states like c("inactive", "active"). Possible values: "inactive", "active". Matching any element of the list is sufficient to pass the criterion.

owner

(string or vector of strings, optional, default is NULL) - Username of the run's owner (the user who created the tracked run is an owner) like "josh" or a list of owners like c("frederic", "josh"). Matching any element of the list is sufficient to pass the criterion.

tag

(string or vector of strings, optional, default is NULL) - An experiment tag like "lightGBM" or list of tags like c("pytorch", "cycleLR"). Only experiments that have all specified tags will match this criterion.

Value

RunsTable data in the form of DataFrame.

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")
df <- neptune_fetch_runs("common-r/quickstarts")

## End(Not run)

Fetches all values stored in the series from Neptune servers.

Description

Fetches all values stored in the series from Neptune servers.

Usage

  neptune_fetch_values(x, include_timestamp=TRUE)

Arguments

x

Field

include_timestamp

logical - Whether to include the fetched data should include the timestamp field.

Value

data.frame containing all the values and their indexes stored in the series field.

Author(s)

Authors:

See Also

Useful links:

Examples

  ## Not run: 
    run <- neptune_init(api_token = 'ANONYMOUS',
                        project = "common-r/quickstarts")
    df <- neptune_fetch_values(run['metrics/auc'])
  
## End(Not run)

Converts an object to an HTML File value object.

Description

Converts an object to an HTML File value object. This way you can upload ggplot2, Plotly interactive charts or upload directly DataFrame objects to explore them in Neptune UI.

Usage

neptune_file_as_html(x)

Arguments

x

An object to be converted. Supported are ggplot2, Plotly and DataFrame objects. R matrices must be converted to numpy arrays via reticulate::np_array R dataframes are automatically converted to Pandas

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")
df <- data.frame(prediction = runif(10), index = 1:10)
neptune_upload(run['evaluation/predictions'], neptune_file_as_html(df))

## End(Not run)

Static method for converting image objects or image-like objects to an image File value object.

Description

Static method for converting image objects or image-like objects to an image File value object. This way you can upload ggplot2 objects, matrices, as static images.

Usage

neptune_file_as_image(x, ...)

Arguments

x

In docs there is Image-like object to be converted. Supported are ggplot2 objects, matrices, as static images. R matrices must be converted to numpy arrays via reticulate::np_array

...

Other arguments passed on to the ggsave function

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")
image <- matrix(runif(16*16), nrow = 16)
neptune_log(run['test/sample_images'], neptune_file_as_image(reticulate::np_array(image)))

## End(Not run)

Returns a direct link to run in Neptune. It's the same link that is printed at the moment of initialization of the run.

Description

Returns a direct link to run in Neptune. It's the same link that is printed at the moment of initialization of the run.

Usage

  neptune_get_run_url(run)

Arguments

run

Neptune run object.

Value

character - URL of the run in Neptune

Author(s)

Authors:

See Also

Useful links:

Examples

  ## Not run: 
    # We are using api token for an anonymous user neptuner. 
    # For your projects use your private token.
    run <- neptune_init(api_token = 'ANONYMOUS',
                        project = "common-r/quickstarts")
    neptune_get_run_url(run)
  
## End(Not run)

Returns a run's metadata structure in form of a named list.

Description

Returns a run's metadata structure in form of a named list. This method can be used to traverse the run's metadata structure programmatically when using Neptune in automated workflows.

Usage

neptune_get_structure(run)

Arguments

run

Neptune run object.

Value

Named list containing all metadata stored for run

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")
str <- neptune_get_structure(run)

## End(Not run)

Starts a new tracked run, and append it to the top of the Runs table view.

Description

Starts a new tracked run, and append it to the top of the Runs table view. All parameters are optional, hence minimal invocation: run <- neptune_init().

Usage

neptune_init(project = NULL,
            api_token = NULL,
            run = NULL,
            python = NULL,
            python_path,
            source_files = NULL,
            mode = "async",
            custom_run_id = NULL,
            name = NULL,
            description = NULL,
            tags = NULL,
            capture_stdout = TRUE,
            capture_stderr = TRUE,
            capture_hardware_metrics = TRUE,
            capture_traceback = TRUE,
            monitoring_namespace = NULL,
            fail_on_exception = TRUE,
            flush_period = 5,
            proxies = NULL)

Arguments

project

character – Name of a project in a form of namespace/project_name. If NULL, the value of NEPTUNE_PROJECT environment variable will be taken.

api_token

character – User’s API token. If NULL, the value of NEPTUNE_API_TOKEN environment variable will be taken. Note: It is strongly recommended to use NEPTUNE_API_TOKEN environment variable rather than placing your API token in plain text in your source code.

run

character – An existing run's identifier like'SAN-1' in case of resuming a tracked run. A run with such identifier must exist. If NULL is passed, starts a new tracked run. See Resume run guide.

python

character - one of python, conda, miniconda, venv. Specifies which type of python's backend should be used.

python_path

character - path to python executable.

source_files

character vector – List of source files to be uploaded. Must be list of str or single str. Uploaded sources are displayed in the run’s Source code tab.

If NULL is passed, for non-interactive sessions the R script from which the method is called will be uploaded.

Unix style pathname pattern expansion is supported. For example, you can pass '*.py' to upload all python source files from the current directory. For Python 3.5 or later, paths of uploaded files on server are resolved as relative to the calculated common root of all uploaded source files. For older Python versions, paths on server are resolved always as relative to the current directory. For recursion lookup use '**/*.py' (for Python 3.5 and later). For more information see glob library.

mode

character – Connection mode in which the tracking will work. Possible values "async", "sync", "offline", and "debug", "read-only". See Connection modes guide.

custom_run_id

character – A unique identifier that can be used to log metadata to a single run from multiple files or processes. The maximum length of the identifier is 32 characters. Make sure you are using the same identifier everywhere. See Pipelines guide. If NULL and the NEPTUNE_CUSTOM_RUN_ID environment variable is set Neptune will use its value as custom_run_id.

name

character – Editable name of the run. Name is displayed in the run's Details and in Runs table as a column.

description

character – Editable description of the run. Description is displayed in the run's Details and can be displayed in the runs view as a column.

tags

character vector – Tags of the run. They are editable after run is created. Tags are displayed in the run's Details and can be viewed in Runs table view as a column.

capture_stdout

logical – Whether to send python's stdout. Tracked metadata will be stored inside monitoring_namespace.

capture_stderr

logical – Whether to send python’s stderr. Tracked metadata will be stored inside monitoring_namespace.

capture_hardware_metrics

logical – Whether to send hardware monitoring logs (CPU, GPU, Memory utilization). Tracked metadata will be stored inside monitoring_namespace.

capture_traceback

logical – Whether to send run’s traceback in case of an exception on Python's side.

monitoring_namespace

character - Namespace inside which all monitoring logs be stored.

fail_on_exception

logical – Whether to set run's as True, if an uncaught exception on python's side happens.

flush_period

numeric - how often asynchronous thread should synchronize data with Neptune servers. Value in seconds.

proxies

named list (python's dict) - Argument passed to HTTP calls made via the python's Requests library. For more information see their proxies section.

Value

Run object that is used to manage the tracked run and log metadata to it.

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")

## End(Not run)

Install neptune-client along with required python enviroment.

Description

neptune_install() installs just the neptune-client python package and it's direct dependencies.

Usage

neptune_install(method = c("auto", "virtualenv", "conda"),
  conda = "auto",
  version = "0.16",
  envname = NULL,
  extra_packages = c("psutil"),
  restart_session = TRUE,
  conda_python_version = "3.7",
  ...,
  python_version = conda_python_version)

Arguments

method

Installation method. By default, "auto" automatically finds a method that will work in the local environment. Change the default to force a specific installation method. Note that the "virtualenv" method is not available on Windows.

conda

The path to a conda executable. Use "auto" to allow reticulate to automatically find an appropriate conda binary. See Finding Conda for more details.

version

Neptune-client version to install. Valid values include: + '"default"' installs 'r default_version'

+ '"release"' installs the latest release version of neptune-client

+ A version specification like '"0.9"' or '"0.9.16"'. Note that if the patch version is not supplied, the latest patch release is installed

+ The full URL or path to a installer binary or python *.whl file.

envname

The name, or full path, of the environment in which Python packages are to be installed. When NULL (the default), the active environment as set by the RETICULATE_PYTHON_ENV variable will be used; if that is unset, then the r-reticulate environment will be used.

extra_packages

Additional Python packages to install along with Neptune

restart_session

Restart R session after installing (note this will only occur within RStudio).

conda_python_version

python_version,conda_python_version the python version installed in the created conda environment. Ignored when attempting to install with a Python virtual environment.

...

other arguments passed to [reticulate::conda_install()] or [reticulate::virtualenv_install()], depending on the 'method' used. Accepts 'pip_ignore_installed=TRUE'.

python_version

The requested Python version. Ignored when attempting to install with a Python virtual environment.

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
neptune_install()

## End(Not run)

Logs the provided number or a collection of numbers.

Description

Logs the provided number or a collection of numbers. Available for following field types (https://docs.neptune.ai/api-reference/field-types): * 'FloatSeries' * 'StringSeries' * 'FileSeries'

Usage

neptune_log(x, value, step=NULL, timestamp=NULL, wait=FALSE, ...)

Arguments

x

Field, for which we want to log value

value

Value or collection of values to be added to the field.

step

(numeric or integer) - Index of the log entry being appended. Must be strictly increasing.

timestamp

(numeric or integer) - Time index of the log entry being appended in form of Unix time. If NULL current time will be used as a timestamp.

wait

logical - If TRUE the client will wait to send all tracked metadata to the server before making the assignment. This makes the call synchronous.

...

Other arguments passed on to the ggsave function in case of logging a ggplot2 object.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")
neptune_log(run['loss'], 0.1)

## End(Not run)

Removes the field or whole namespace stored under the path completely and all data associated with them.

Description

Removes the field or whole namespace stored under the path completely and all data associated with them.

Usage

  neptune_pop(run, path, wait=TRUE)

Arguments

run

Neptune run object.

path

character - Path of the field or namespace to be removed.

wait

logical - If TRUE the client will first wait to send all tracked metadata to the server. This makes the call synchronous, see Connection modes guide.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

  ## Not run: 
    # We are using api token for an anonymous user neptuner. 
    # For your projects use your private token.
    run <- neptune_init(api_token = 'ANONYMOUS',
                        project = "common-r/quickstarts")
    run['lr'] <- 0.001
    neptune_pop(run, 'lr')
  
## End(Not run)

Pretty prints the structure of the run's metadata. Paths are ordered lexicographically and the whole structure is neatly colored.

Description

Pretty prints the structure of the run's metadata. Paths are ordered lexicographically and the whole structure is neatly colored.

Usage

neptune_print_structure(run)

Arguments

run

Neptune run object.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")
neptune_print_structure(run)

## End(Not run)

Removes the provided tag or tags from the set.

Description

Removes the provided tag or tags from the set.

Usage

neptune_remove(x, values, wait=FALSE)

Arguments

x

Field, for which we want to remove tags eg. run['Sys/tags']

values

string or list of strings - Tag or tags to be removed.

wait

logical - If TRUE the client will wait to send all tracked metadata to the server before making the assignment. This makes the call synchronous.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")
neptune_add(run['Sys/tags'], 'some_tag')
neptune_remove(run['Sys/tags'], 'some_tag')

## End(Not run)

Sets NEPTUNE_API_TOKEN environment variables

Description

Sets NEPTUNE_API_TOKEN environment variables. It is used as a default api_token value by neptune_init.

Usage

neptune_set_api_token(token)

Arguments

token

string - Your Neptune API token

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

neptune_set_api_token("ANONYMOUS")

Stop neptune run.

Description

Stop neptune run.

Usage

  neptune_stop(run, seconds=NULL)

Arguments

run

Neptune run object.

seconds

(integer or numeric, optional, default is NULL) - The method will wait for the specified time for all tracking calls to finish, before stopping the connection. If NULL will wait for all tracking calls to finish.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")
neptune_stop(run)

## End(Not run)

Synchronizes the run with with Neptune servers.

Description

Synchronizes the run with Neptune servers.

Usage

neptune_sync(run, wait=TRUE)

Arguments

run

Neptune run object.

wait

logical - If TRUE the client will first wait to send all tracked metadata to the server. This makes the call synchronous, see Connection modes guide.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")
run['lr'] <- 0.001
neptune_sync(run)

## End(Not run)

Saves the artifact metadata.

Description

Saves the artifact metadata: version (hash), location (path), size, folder structure, and contents to Neptune. Works for files, folders or S3-compatible storage.

Usage

  neptune_track_files(x, path, destination=NULL, wait=FALSE)

Arguments

x

Field

path

character - File path or S3-compatible path to the file or folder that you want to track.

destination

character - location inside Neptune artifact namespace where you want to log the metadata.

wait

logical - - If TRUE the client will wait to send all tracked metadata to the server before making the assignment. This makes the call synchronous.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
  # We are using api token for an anonymous user neptuner. 
  # For your projects use your private token.
  run <- neptune_init(api_token = 'ANONYMOUS',
                      project = "common-r/quickstarts")
  neptune_track_files(run['artifacts/images'], 'datasets/train/images')

## End(Not run)

Uploads provided file under specified field path

Description

Uploads provided file under specified field path

Usage

neptune_upload(x, value, wait=FALSE, ...)

Arguments

x

Field

value

string - Path to the file to be uploaded or File value object eg. object returned by neptune_file_as_html call

wait

logical - If TRUE the client will wait to send all tracked metadata to the server before making the assignment. This makes the call synchronous.

...

Other arguments passed on to the ggsave function in case of uploading a ggplot2 object.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

## Not run: 
# We are using api token for an anonymous user neptuner. For your projects use your private token.
run <- neptune_init(api_token = 'ANONYMOUS',
                    project = "common-r/quickstarts")
neptune_upload(run['model'], "model.RData")

## End(Not run)

Uploads the provided file or files and stores them inside the FileSet.

Description

Uploads the provided file or files and stores them inside the FileSet.

Usage

  neptune_upload_files(x, globs, wait=FALSE)

Arguments

x

Field

globs

character or vector of characters - Path or paths to the files to be uploaded.

wait

logical - If TRUE the client will wait to send all tracked metadata to the server before making the assignment. This makes the call synchronous.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

  ## Not run: 
    run <- neptune_init(api_token = 'ANONYMOUS',
                        project = "common-r/quickstarts")
    neptune_upload_files(run['artifacts/images'], "path/to/file")
  
## End(Not run)

Wait for all the tracking calls to finish.

Description

Wait for all the tracking calls to finish. In asynchronous connection mode data (default one) is synchronized with the Neptune servers in the background and each call to upload, log etc. is not immediately executed. Wait delays the code execution until all the calls are done.

Usage

  neptune_wait(run, disk_only=FALSE)

Arguments

run

Neptune run object.

disk_only

logical - If TRUE the process will only wait for data to be saved locally from memory, but will not wait for them to reach Neptune servers.

Value

None

Author(s)

Authors:

See Also

Useful links:

Examples

  ## Not run: 
    # We are using api token for an anonymous user neptuner. 
    # For your projects use your private token.
    run <- neptune_init(api_token = 'ANONYMOUS',
                        project = "common-r/quickstarts")
    neptune_wait(run)
  
## End(Not run)