Module markov.api.mkv_constants
Classes
class AuthProviderType (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var AUTH0 : Final
var MARKOV : Final
class Constants (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var CLI_VERSION : Final
var COL_INDEXES : Final
var COL_NAMES : Final
var CREDENTIAL_ID : Final
var DECREASING : Final
var DF_ID : Final
var DS_ID : Final
var DS_NAME : Final
var END_DATE : Final
var FILTER : Final
var FORCE_RECOMPUTE : Final
var INFERENCE_RECORDS : Final
var MKV_ARTIFACT_TYPE : Final
var NAME : Final
var NOTES : Final
var NUM_RECORDS : Final
var PATTERN_KEY : Final
var RECORDING_ID : Final
var REG_DATA : Final
var RESPONSE : Final
var RUN_ID : Final
var SEGMENT_PATHS : Final
var SEGMENT_TYPE : Final
var SHOULD_ANALYZE : Final
var START_DATE : Final
var STATUS_ONLY : Final
var TAGS : Final
var TOP_N : Final
class CorrelationType (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var Kendall : Final
var Pearson : Final
var Spearman : Final
class DataCategory (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var Categorical : Final
var Image : Final
var Mixed : Final
var Numerical : Final
var OneHot : Final
var Text : Final
var TimeSeries : Final
class DataSourceFormat (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var ARROW : Final
var CSV : Final
var FEATHER : Final
var JSON : Final
var PARQUET : Final
var PICKLE : Final
var ZIP : Final
class DataSourceType (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var Dataframe : Final
var Filepath : Final
var S3 : Final
var Snowflake : Final
class ExperimentRecordLabels (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var METRIC : Final
var SYSTEM : Final
Static methods
def has_value(value)
class ExperimentRecordingMetrics (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var AVG_RUNNING_LOSS : Final
var EPOCH_TIME : Final
var LEARNING_RATE : Final
class MKVArtifactType (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
Contains Type of specific Artifacts recognized by MarkovML Platform
Ancestors
- enum.Enum
Class variables
var ALL
var Analysis
-
Metrics associated with a given model.
var DataFamily
-
Dataset contains the data_set and related metadata information
var DataSet
-
Collection of models that follow certain characteristics/ solve specific type of inference problem. Example XFraudModelFamily_en-us contains all the models that have been created to classify XFraud in en-us domain
var Metrics
-
A run is an execution by MarkovML
var Model
-
An EDA associated with data_set or evaluation of a model
var ModelFamily
-
An instance of a specific model and its associated meta data_set that is being trained and registered
var Run
-
All artifacts identified by handlers.
class MKVRegistrationConfig (auth_token: str, base_url: str)
-
MKVRegistrationConfig(auth_token: str, base_url: str)
Class variables
var auth_token : str
var base_url : str
Static methods
def from_dict(kvs: Union[dict, list, str, int, float, bool, ForwardRef(None)], *, infer_missing=False) ‑> ~A
def from_json(s: Union[str, bytes, bytearray], *, parse_float=None, parse_int=None, parse_constant=None, infer_missing=False, **kw) ‑> ~A
def schema(*, infer_missing: bool = False, only=None, exclude=(), many: bool = False, context=None, load_only=(), dump_only=(), partial: bool = False, unknown=None) ‑> dataclasses_json.mm.SchemaF[~A]
Methods
def to_dict(self, encode_json=False) ‑> Dict[str, Union[dict, list, str, int, float, bool, ForwardRef(None)]]
def to_json(self, *, skipkeys: bool = False, ensure_ascii: bool = True, check_circular: bool = True, allow_nan: bool = True, indent: Union[int, str, ForwardRef(None)] = None, separators: Optional[Tuple[str, str]] = None, default: Optional[Callable] = None, sort_keys: bool = False, **kw) ‑> str
class MLModelClass (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var Classification : Final
var Regression : Final
class ModelType (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
Defines the different types of Models supported by MarkovML
Ancestors
- builtins.str
- enum.Enum
Class variables
var REGISTERED_MANAGED : str
var REMOTE_API : str
var SCIKIT_LEARN_BINARY : str
class Quartile (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
Quartile constants. Q1 0-25, Q2 25+- 50, Q3 50+ - 75 , Q4 75+-100
Ancestors
- builtins.str
- enum.Enum
Class variables
var Q1 : Final
-
Second quartile of the dataset
var Q2 : Final
-
Third quartile of the dataset
var Q3 : Final
-
Fourth Quartile of the dataset
var Q4 : Final
class RecordingMode (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var OFFLINE : Final
var ONLINE : Final
class ReturnCode (...)
-
str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
Create a new string object from the given object. If encoding or errors is specified, then the object must expose a data buffer that will be decoded using the given encoding and error handler. Otherwise, returns the result of object.str() (if defined) or repr(object). encoding defaults to sys.getdefaultencoding(). errors defaults to 'strict'.
Ancestors
- builtins.str
Class variables
var COMMAND_FAILED : Final
var EXISTING_RECORD : Final
var INSUFFICIENT_CREDITS : Final
var INVALID_INPUT : Final
var MISSING_VALUE : Final
var NAME_CONFLICT : Final
var NOT_SUPPORTED : Final
var OK : Final
var PARTIAL_UPDATE : Final
var UNAUTHORIZED : Final
var UNSUPPORTED_ANALYSIS : Final
class RunType (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
What type of run is this
Ancestors
- builtins.str
- enum.Enum
Class variables
var DATA_ANALYSIS : Final
-
RunType for comparing a data_analyzer set with one or more data_analyzer sets
var DATA_COMPARISON : Final
-
RunType to execute the model evaluation run
var DATA_EVALUATOR_RELIABILITY : Final
var MODEL_COMPARISON : Final
-
RunType for data_analyzer quality reliability run
var MODEL_EVALUATION : Final
-
RunType to execute the model comparison run
class SamplingStrategyType (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var StratifiedSampling : Final
var WeightedSampling : Final
var balancedSampling : Final
var clusterSampling : Final
var randomSampling : Final
class SegmentType (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var Test : Final
var Train : Final
var Unknown : Final
var Validate : Final
class StorageFormatType (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var CSV : Final
var FEATHER : Final
var PARQUET : Final
var TSV : Final
class StorageType (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var MKV : Final
var S3 : Final
class WorkflowMode (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
An enumeration.
Ancestors
- builtins.str
- enum.Enum
Class variables
var EXTERNAL_CLOUD_STORAGE : Final
var LOCAL_FILE_UPLOAD : Final