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)

Static methods

def from_dict(kvs: dict | list | str | int | float | bool | None, *, infer_missing=False) ‑> ~A

def from_json(s: 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]

Instance variables

var auth_token : str

var base_url : str

Methods

def to_dict(self, encode_json=False) ‑> Dict[str, dict | list | str | int | float | bool | None]

def to_json(self,
*,
skipkeys: bool = False,
ensure_ascii: bool = True,
check_circular: bool = True,
allow_nan: bool = True,
indent: int | str | None = None,
separators: Tuple[str, str] | None = None,
default: Callable | None = 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