Module amber_client
Classes
class AmberV2Client (profile: LicenseProfile = None, verify: bool = True)
-
Main client which interfaces with the Amber cloud. Amber account credentials are discovered within a .Amber.license file located in the home directory, or optionally overridden using environment variables.
Environment: AMBER_V2_VERIFY: specifies the ssl verification required or not
Subclasses
Static methods
def from_dict(profile_dict: dict = None, verify: bool = True)
def from_environment()
-
Environment
AMBER_V2_LICENSE_KEY
: sets license keyAMBER_V2_SECRET_KEY
: sets secret keyAMBER_V2_SERVER
: sets urlAMBER_V2_OAUTH_SERVER
: sets url for oauthAMBER_V2_VERIFY
: boolean for ssl cert verifyRaises
ApiException
- if error supplying authentication credentials
def from_license_file(license_id: str = 'default', license_file: str = '~/.Amber.license', verify: bool = True)
-
Args
license_id
- (type: str) license identifier label found within .Amber.license file
license_file
- (type: str) path to .Amber.license file
Environment
AMBER_V2_LICENSE_FILE
: sets license_file pathAMBER_V2_LICENSE_ID
: sets license_idRaises
ApiException
- if error supplying authentication credentials
Methods
def copy_model(self, model_id: str, label: str = None) ‑> PostModelResponse
-
Copy a model and return the new model information.
Args
model_id
- (type: str) (required)
label
- (type: str) label for new model (uses previous label if unspecified)
Returns
def delete_model(self, model_id: str)
-
Permanently delete the specified model.
Args
model_id
- (type: str) (required)
def enable_learning(self, model_id: str, **kwargs) ‑> PostLearningResponse
-
Update model configuration and re-enable learning
Args
model_id
- (type: str) (required)
training
- (type:
TrainingConfig
) updates to apply
Returns
def get_config(self, model_id: str) ‑> PostConfigResponse
-
Get the configuration of the specified model.
Args
model_id
- (type: str) (required)
Returns
def get_diagnostic(self, model_id: str, dir: str) ‑> str
-
Get the current summation of the specified model
Args
model_id
- (type: str) (required)
dir
- (type: str) (required) path to save the diagnostic tar file
Returns
str
def get_model(self, model_id: str) ‑> PostModelResponse
-
Return metadata for the specified model.
Args
model_id
- (type: str) (required)
Returns
def get_models(self) ‑> GetModelsResponse
def get_nano_status(self, model_id: str) ‑> GetNanoStatusResponse
-
Get the current nano status of the specified model.
Args
model_id
- (type: str) (required)
Returns
def get_pretrain(self, model_id: str) ‑> GetPretrainResponse
-
Get the pretraining status of the specified model.
Args
model_id
- (type: str) (required)
Returns
def get_root_cause(self, model_id: str, **kwargs) ‑> GetRootCauseResponse
-
Return a measure of the significance of each feature in the creation of a cluster. The values range from 0 to 1 where a relatively high value represents a feature that was influential in creating the new cluster. No conclusions can be drawn from values close to zero. This measure can be computed for existing clusters or for individual vectors directly.
Args
model_id
- (type: str) (required)
clusters
- (type: str or array-like) Clusters to analyze (list of comma-separated integers).
vectors
- (type: str or array-like) Vectors to analyze, as a flat list of comma-separated floats. Number of values must be a multiple of the configured number of features.
Returns
def get_status(self, model_id: str) ‑> GetStatusResponse
-
Get the current state and learning progress of the specified model.
Args
model_id
- (type: str) (required)
Returns
def get_version(self) ‑> GetVersionResponse
-
Return version information for the API.
Returns
Example
amber = AmberClientV2() version = amber.get_version() print(version.to_dict())
def migrate_model(self, v1_model_id: str)
-
migrate a v1 sensor to a v2 model
Args
v1_model_id
- (type: str) version 1 sensor id (required)
Returns
def post_config(self, model_id: str, body: PostConfigRequest) ‑> PostConfigResponse
-
Configure the specified model. Wipes all progress and puts the model in the
Buffering
state.Args
model_id
- (type: str) (required)
body
- (type:
PostConfigRequest
) configuration to apply
Returns
def post_data(self, model_id: str, data, save_image: bool = True) ‑> PostDataResponse
-
Send data to the specified model, and get back the resulting analytics and model status.
Args
model_id
- (type: str) (required)
data
- (type: str or array-like) (required) data vector or vectors as a flattened list of comma-separated values
save_image
- (type: boolean) whether or not to save the model (only applies to on prem)
Returns
def post_model(self, metadata: PostModelRequest) ‑> PostModelResponse
-
Create a new model and return its unique identifier.
Args
metadata
- (type:
PostModelRequest
) (required) initial metadata for new model
Returns
def post_outage(self, model_id: str)
-
Resets the streaming window generated by
streamingWindow
. This endpoint should be called after a data outage before resuming streaming.Args
model_id
- (type: str) (required)
def post_pretrain(self, model_id: str, data, chunk_size: int = 400000, block: bool = True, **kwargs) ‑> PostPretrainResponse
-
pretrain model with an existing dataset
Args
model_id
- (type: str) (required)
data
- (type: str or array like) data to process
chunk_size
- (type: int) number of portions to send the data over
block
- (type: boolean) wait until pretraining finishes before returning
Returns
def put_data(self, model_id: str, body: PutDataRequest) ‑> PutDataResponse
-
update fusion vector and get back results
Args
model_id
- (type: str) (required)
body
- (type:
PutDataRequest
) (required) updates to the fusion vector
Returns
def update_label(self, model_id: str, label: str) ‑> PostModelResponse
-
Update metadata for the specified model.
Args
model_id
- (type: str) (required)
label
- (type: str) (required) updates to apply
Returns
class ApiException (status=None, reason=None, http_resp=None)
-
Common base class for all non-exit exceptions.
Ancestors
- boonamber.v2.rest.ApiException
- builtins.Exception
- builtins.BaseException
class LicenseProfile (license_key: str = None, secret_key: str = None, server: str = None, oauth_server: str = None)