How to use the mindsdb.libs.constants.mindsdb.DATA_TYPES function in MindsDB

To help you get started, we’ve selected a few MindsDB examples, based on popular ways it is used in public projects.

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mindsdb / mindsdb / mindsdb / libs / constants / mindsdb.py View on Github

TEXT = 'Text'
    ARRAY = 'Array' # Do we even want to support arrays / structs / nested ... etc ?

class DATA_TYPES:
    NUMERIC = 'Numeric'
    DATE = 'Date'
    CATEGORICAL = 'Categorical'
    FILE_PATH = 'File Path'
    URL = 'Url'
    SEQUENTIAL = 'Sequential'

class DATA_TYPES_SUBTYPES:
    subtypes = {
        DATA_TYPES.NUMERIC: (DATA_SUBTYPES.INT, DATA_SUBTYPES.FLOAT, DATA_SUBTYPES.BINARY)
        ,DATA_TYPES.DATE:(DATA_SUBTYPES.DATE, DATA_SUBTYPES.TIMESTAMP)
        ,DATA_TYPES.CATEGORICAL:(DATA_SUBTYPES.SINGLE, DATA_SUBTYPES.MULTIPLE)
        ,DATA_TYPES.FILE_PATH:(DATA_SUBTYPES.IMAGE, DATA_SUBTYPES.VIDEO, DATA_SUBTYPES.AUDIO)
        ,DATA_TYPES.URL:()
        ,DATA_TYPES.SEQUENTIAL:(DATA_SUBTYPES.TEXT, DATA_SUBTYPES.ARRAY)
    }


class KEYS:
    X ='x'
    Y ='y'

class ORDER_BY_KEYS:
    COLUMN = 0
    ASCENDING_VALUE = 1


PHASE_START = 0

mindsdb / mindsdb / mindsdb / libs / constants / mindsdb.py View on Github

ARRAY = 'Array' # Do we even want to support arrays / structs / nested ... etc ?

class DATA_TYPES:
    NUMERIC = 'Numeric'
    DATE = 'Date'
    CATEGORICAL = 'Categorical'
    FILE_PATH = 'File Path'
    URL = 'Url'
    SEQUENTIAL = 'Sequential'

class DATA_TYPES_SUBTYPES:
    subtypes = {
        DATA_TYPES.NUMERIC: (DATA_SUBTYPES.INT, DATA_SUBTYPES.FLOAT, DATA_SUBTYPES.BINARY)
        ,DATA_TYPES.DATE:(DATA_SUBTYPES.DATE, DATA_SUBTYPES.TIMESTAMP)
        ,DATA_TYPES.CATEGORICAL:(DATA_SUBTYPES.SINGLE, DATA_SUBTYPES.MULTIPLE)
        ,DATA_TYPES.FILE_PATH:(DATA_SUBTYPES.IMAGE, DATA_SUBTYPES.VIDEO, DATA_SUBTYPES.AUDIO)
        ,DATA_TYPES.URL:()
        ,DATA_TYPES.SEQUENTIAL:(DATA_SUBTYPES.TEXT, DATA_SUBTYPES.ARRAY)
    }


class KEYS:
    X ='x'
    Y ='y'

class ORDER_BY_KEYS:
    COLUMN = 0
    ASCENDING_VALUE = 1


PHASE_START = 0
PHASE_END = 1000

mindsdb / mindsdb / mindsdb / libs / constants / mindsdb.py View on Github

class DATA_TYPES:
    NUMERIC = 'Numeric'
    DATE = 'Date'
    CATEGORICAL = 'Categorical'
    FILE_PATH = 'File Path'
    URL = 'Url'
    SEQUENTIAL = 'Sequential'

class DATA_TYPES_SUBTYPES:
    subtypes = {
        DATA_TYPES.NUMERIC: (DATA_SUBTYPES.INT, DATA_SUBTYPES.FLOAT, DATA_SUBTYPES.BINARY)
        ,DATA_TYPES.DATE:(DATA_SUBTYPES.DATE, DATA_SUBTYPES.TIMESTAMP)
        ,DATA_TYPES.CATEGORICAL:(DATA_SUBTYPES.SINGLE, DATA_SUBTYPES.MULTIPLE)
        ,DATA_TYPES.FILE_PATH:(DATA_SUBTYPES.IMAGE, DATA_SUBTYPES.VIDEO, DATA_SUBTYPES.AUDIO)
        ,DATA_TYPES.URL:()
        ,DATA_TYPES.SEQUENTIAL:(DATA_SUBTYPES.TEXT, DATA_SUBTYPES.ARRAY)
    }


class KEYS:
    X ='x'
    Y ='y'

class ORDER_BY_KEYS:
    COLUMN = 0
    ASCENDING_VALUE = 1


PHASE_START = 0
PHASE_END = 1000
PHASE_DATA_EXTRACTOR = 1
PHASE_STATS_GENERATOR = 2

mindsdb / mindsdb / mindsdb / libs / constants / mindsdb.py View on Github

# SEQUENTIAL
    TEXT = 'Text'
    ARRAY = 'Array' # Do we even want to support arrays / structs / nested ... etc ?

class DATA_TYPES:
    NUMERIC = 'Numeric'
    DATE = 'Date'
    CATEGORICAL = 'Categorical'
    FILE_PATH = 'File Path'
    URL = 'Url'
    SEQUENTIAL = 'Sequential'

class DATA_TYPES_SUBTYPES:
    subtypes = {
        DATA_TYPES.NUMERIC: (DATA_SUBTYPES.INT, DATA_SUBTYPES.FLOAT, DATA_SUBTYPES.BINARY)
        ,DATA_TYPES.DATE:(DATA_SUBTYPES.DATE, DATA_SUBTYPES.TIMESTAMP)
        ,DATA_TYPES.CATEGORICAL:(DATA_SUBTYPES.SINGLE, DATA_SUBTYPES.MULTIPLE)
        ,DATA_TYPES.FILE_PATH:(DATA_SUBTYPES.IMAGE, DATA_SUBTYPES.VIDEO, DATA_SUBTYPES.AUDIO)
        ,DATA_TYPES.URL:()
        ,DATA_TYPES.SEQUENTIAL:(DATA_SUBTYPES.TEXT, DATA_SUBTYPES.ARRAY)
    }


class ORDER_BY_KEYS:
    COLUMN = 0
    ASCENDING_VALUE = 1

MODEL_STATUS_TRAINED = "Trained"
MODEL_STATUS_PREPARING = "Preparing"
MODEL_STATUS_DATA_ANALYSIS = "Data Analysis"
MODEL_STATUS_TRAINING= "Training"

mindsdb / mindsdb / mindsdb / libs / constants / mindsdb.py View on Github

# SEQUENTIAL
    TEXT = 'Text'
    ARRAY = 'Array' # Do we even want to support arrays / structs / nested ... etc ?

class DATA_TYPES:
    NUMERIC = 'Numeric'
    DATE = 'Date'
    CATEGORICAL = 'Categorical'
    FILE_PATH = 'File Path'
    URL = 'Url'
    SEQUENTIAL = 'Sequential'

class DATA_TYPES_SUBTYPES:
    subtypes = {
        DATA_TYPES.NUMERIC: (DATA_SUBTYPES.INT, DATA_SUBTYPES.FLOAT, DATA_SUBTYPES.BINARY)
        ,DATA_TYPES.DATE:(DATA_SUBTYPES.DATE, DATA_SUBTYPES.TIMESTAMP)
        ,DATA_TYPES.CATEGORICAL:(DATA_SUBTYPES.SINGLE, DATA_SUBTYPES.MULTIPLE)
        ,DATA_TYPES.FILE_PATH:(DATA_SUBTYPES.IMAGE, DATA_SUBTYPES.VIDEO, DATA_SUBTYPES.AUDIO)
        ,DATA_TYPES.URL:()
        ,DATA_TYPES.SEQUENTIAL:(DATA_SUBTYPES.TEXT, DATA_SUBTYPES.ARRAY)
    }


class ORDER_BY_KEYS:
    COLUMN = 0
    ASCENDING_VALUE = 1

MODEL_STATUS_TRAINED = "Trained"
MODEL_STATUS_PREPARING = "Preparing"
MODEL_STATUS_DATA_ANALYSIS = "Data Analysis"
MODEL_STATUS_TRAINING= "Training"
MODEL_STATUS_ANALYZING = "Analyzing"

mindsdb / mindsdb / mindsdb / libs / constants / mindsdb.py View on Github

TEXT = 'Text'
    ARRAY = 'Array' # Do we even want to support arrays / structs / nested ... etc ?

class DATA_TYPES:
    NUMERIC = 'Numeric'
    DATE = 'Date'
    CATEGORICAL = 'Categorical'
    FILE_PATH = 'File Path'
    URL = 'Url'
    SEQUENTIAL = 'Sequential'

class DATA_TYPES_SUBTYPES:
    subtypes = {
        DATA_TYPES.NUMERIC: (DATA_SUBTYPES.INT, DATA_SUBTYPES.FLOAT, DATA_SUBTYPES.BINARY)
        ,DATA_TYPES.DATE:(DATA_SUBTYPES.DATE, DATA_SUBTYPES.TIMESTAMP)
        ,DATA_TYPES.CATEGORICAL:(DATA_SUBTYPES.SINGLE, DATA_SUBTYPES.MULTIPLE)
        ,DATA_TYPES.FILE_PATH:(DATA_SUBTYPES.IMAGE, DATA_SUBTYPES.VIDEO, DATA_SUBTYPES.AUDIO)
        ,DATA_TYPES.URL:()
        ,DATA_TYPES.SEQUENTIAL:(DATA_SUBTYPES.TEXT, DATA_SUBTYPES.ARRAY)
    }


class ORDER_BY_KEYS:
    COLUMN = 0
    ASCENDING_VALUE = 1

MODEL_STATUS_TRAINED = "Trained"
MODEL_STATUS_PREPARING = "Preparing"
MODEL_STATUS_DATA_ANALYSIS = "Data Analysis"
MODEL_STATUS_TRAINING= "Training"
MODEL_STATUS_ANALYZING = "Analyzing"
MODEL_STATUS_ERROR = "Error"

mindsdb / mindsdb / mindsdb / libs / constants / mindsdb.py View on Github

# SEQUENTIAL
    TEXT = 'Text'
    ARRAY = 'Array' # Do we even want to support arrays / structs / nested ... etc ?

class DATA_TYPES:
    NUMERIC = 'Numeric'
    DATE = 'Date'
    CATEGORICAL = 'Categorical'
    FILE_PATH = 'File Path'
    URL = 'Url'
    SEQUENTIAL = 'Sequential'

class DATA_TYPES_SUBTYPES:
    subtypes = {
        DATA_TYPES.NUMERIC: (DATA_SUBTYPES.INT, DATA_SUBTYPES.FLOAT, DATA_SUBTYPES.BINARY)
        ,DATA_TYPES.DATE:(DATA_SUBTYPES.DATE, DATA_SUBTYPES.TIMESTAMP)
        ,DATA_TYPES.CATEGORICAL:(DATA_SUBTYPES.SINGLE, DATA_SUBTYPES.MULTIPLE)
        ,DATA_TYPES.FILE_PATH:(DATA_SUBTYPES.IMAGE, DATA_SUBTYPES.VIDEO, DATA_SUBTYPES.AUDIO)
        ,DATA_TYPES.URL:()
        ,DATA_TYPES.SEQUENTIAL:(DATA_SUBTYPES.TEXT, DATA_SUBTYPES.ARRAY)
    }


class KEYS:
    X ='x'
    Y ='y'

class ORDER_BY_KEYS:
    COLUMN = 0
    ASCENDING_VALUE = 1

mindsdb / mindsdb / mindsdb / libs / constants / mindsdb.py View on Github

class DATA_TYPES:
    NUMERIC = 'Numeric'
    DATE = 'Date'
    CATEGORICAL = 'Categorical'
    FILE_PATH = 'File Path'
    URL = 'Url'
    SEQUENTIAL = 'Sequential'

class DATA_TYPES_SUBTYPES:
    subtypes = {
        DATA_TYPES.NUMERIC: (DATA_SUBTYPES.INT, DATA_SUBTYPES.FLOAT, DATA_SUBTYPES.BINARY)
        ,DATA_TYPES.DATE:(DATA_SUBTYPES.DATE, DATA_SUBTYPES.TIMESTAMP)
        ,DATA_TYPES.CATEGORICAL:(DATA_SUBTYPES.SINGLE, DATA_SUBTYPES.MULTIPLE)
        ,DATA_TYPES.FILE_PATH:(DATA_SUBTYPES.IMAGE, DATA_SUBTYPES.VIDEO, DATA_SUBTYPES.AUDIO)
        ,DATA_TYPES.URL:()
        ,DATA_TYPES.SEQUENTIAL:(DATA_SUBTYPES.TEXT, DATA_SUBTYPES.ARRAY)
    }


class KEYS:
    X ='x'
    Y ='y'

class ORDER_BY_KEYS:
    COLUMN = 0
    ASCENDING_VALUE = 1


PHASE_START = 0
PHASE_END = 1000
PHASE_DATA_EXTRACTOR = 1

mindsdb / mindsdb / mindsdb / libs / constants / mindsdb.py View on Github

class DATA_TYPES:
    NUMERIC = 'Numeric'
    DATE = 'Date'
    CATEGORICAL = 'Categorical'
    FILE_PATH = 'File Path'
    URL = 'Url'
    SEQUENTIAL = 'Sequential'

class DATA_TYPES_SUBTYPES:
    subtypes = {
        DATA_TYPES.NUMERIC: (DATA_SUBTYPES.INT, DATA_SUBTYPES.FLOAT, DATA_SUBTYPES.BINARY)
        ,DATA_TYPES.DATE:(DATA_SUBTYPES.DATE, DATA_SUBTYPES.TIMESTAMP)
        ,DATA_TYPES.CATEGORICAL:(DATA_SUBTYPES.SINGLE, DATA_SUBTYPES.MULTIPLE)
        ,DATA_TYPES.FILE_PATH:(DATA_SUBTYPES.IMAGE, DATA_SUBTYPES.VIDEO, DATA_SUBTYPES.AUDIO)
        ,DATA_TYPES.URL:()
        ,DATA_TYPES.SEQUENTIAL:(DATA_SUBTYPES.TEXT, DATA_SUBTYPES.ARRAY)
    }


class ORDER_BY_KEYS:
    COLUMN = 0
    ASCENDING_VALUE = 1

MODEL_STATUS_TRAINED = "Trained"
MODEL_STATUS_PREPARING = "Preparing"
MODEL_STATUS_DATA_ANALYSIS = "Data Analysis"
MODEL_STATUS_TRAINING= "Training"
MODEL_STATUS_ANALYZING = "Analyzing"
MODEL_STATUS_ERROR = "Error"
MODEL_STATUS_DONE = "Done"

WORD_SEPARATORS = [',', "\t", ' ']

mindsdb / mindsdb / mindsdb / libs / constants / mindsdb.py View on Github

class DATA_TYPES:
    NUMERIC = 'Numeric'
    DATE = 'Date'
    CATEGORICAL = 'Categorical'
    FILE_PATH = 'File Path'
    URL = 'Url'
    SEQUENTIAL = 'Sequential'

class DATA_TYPES_SUBTYPES:
    subtypes = {
        DATA_TYPES.NUMERIC: (DATA_SUBTYPES.INT, DATA_SUBTYPES.FLOAT, DATA_SUBTYPES.BINARY)
        ,DATA_TYPES.DATE:(DATA_SUBTYPES.DATE, DATA_SUBTYPES.TIMESTAMP)
        ,DATA_TYPES.CATEGORICAL:(DATA_SUBTYPES.SINGLE, DATA_SUBTYPES.MULTIPLE)
        ,DATA_TYPES.FILE_PATH:(DATA_SUBTYPES.IMAGE, DATA_SUBTYPES.VIDEO, DATA_SUBTYPES.AUDIO)
        ,DATA_TYPES.URL:()
        ,DATA_TYPES.SEQUENTIAL:(DATA_SUBTYPES.TEXT, DATA_SUBTYPES.ARRAY)
    }


class ORDER_BY_KEYS:
    COLUMN = 0
    ASCENDING_VALUE = 1

MODEL_STATUS_TRAINED = "Trained"
MODEL_STATUS_PREPARING = "Preparing"
MODEL_STATUS_DATA_ANALYSIS = "Data Analysis"
MODEL_STATUS_TRAINING= "Training"
MODEL_STATUS_ANALYZING = "Analyzing"
MODEL_STATUS_ERROR = "Error"
MODEL_STATUS_DONE = "Done"

How to use the mindsdb.libs.constants.mindsdb.DATA_TYPES function in MindsDB

To help you get started, we’ve selected a few MindsDB examples, based on popular ways it is used in public projects.

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