ssp.utils

ssp.utils.get_false_positive_keywords()[source]
ssp.utils.get_positive_keywords()[source]
class ssp.utils.ai_key_words.AIKeyWords[source]

Bases: object

AI = '#AI|Artificial Intelligence|robotics'
ALL = '#AI|Artificial Intelligence|robotics|machinelearningengineer|Machine Learning|scikit|#ML|mathematics|DeepLearning|Deep Learning|#DL|Tensorflow|Pytorch|Neural Network|NeuralNetwork|computervision|computer vision|machine vision|machinevision|convolutional network|convnet|image processing|NLP|naturallanguageprocessing|natural language processing|text processing|text analytics|nltk|spacy|iot|datasets|dataengineer|analytics|bigdata|big data|data science|data analytics|data insights|data mining|distributed computing|parallel processing|apache spark|hadoop|apache hive|airflow|mlflow|apache kafka|hdfs|apache|kafka|dataanalysis|AugmentedIntelligence|datascience|machinelearning|rnd|businessintelligence|DigitalTransformation|datamanagement|ArtificialIntelligence|gpu|nvidia|maths|mathematics|intelligence|conspiracy|astrology|vedic|tamil|text|computer|ebook|pdf|learning|big|insights|processing|network|machine|artifical|data|science|parallel|computing|deep|vision|natural|language|data|nature|climate|space|earth|animals|plants|astrology|horoscope|occult|hidden science|conspiracy|hinduism|hindu|vedic'
CV = 'computervision|computer vision|machine vision|machinevision|convolutional network|convnet|image processing'
DATA = 'iot|datasets|dataengineer|analytics|bigdata|big data|data science|data analytics|data insights|data mining|distributed computing|parallel processing|apache spark|hadoop|apache hive|airflow|mlflow|apache kafka|hdfs|apache|kafka'
DL = 'DeepLearning|Deep Learning|#DL|Tensorflow|Pytorch|Neural Network|NeuralNetwork'
FALSE_POSITIVE = 'gpu|nvidia|maths|mathematics|intelligence|conspiracy|astrology|vedic|tamil|text|computer|ebook|pdf|learning|big|insights|processing|network|machine|artifical|data|science|parallel|computing|deep|vision|natural|language|data'
ML = 'machinelearningengineer|Machine Learning|scikit|#ML|mathematics'
NLP = 'NLP|naturallanguageprocessing|natural language processing|text processing|text analytics|nltk|spacy'
POSITIVE = '#AI|Artificial Intelligence|robotics|machinelearningengineer|Machine Learning|scikit|#ML|mathematics|DeepLearning|Deep Learning|#DL|Tensorflow|Pytorch|Neural Network|NeuralNetwork|computervision|computer vision|machine vision|machinevision|convolutional network|convnet|image processing|NLP|naturallanguageprocessing|natural language processing|text processing|text analytics|nltk|spacy|iot|datasets|dataengineer|analytics|bigdata|big data|data science|data analytics|data insights|data mining|distributed computing|parallel processing|apache spark|hadoop|apache hive|airflow|mlflow|apache kafka|hdfs|apache|kafka|dataanalysis|AugmentedIntelligence|datascience|machinelearning|rnd|businessintelligence|DigitalTransformation|datamanagement|ArtificialIntelligence'
RANDOM_TOPICS = 'nature|climate|space|earth|animals|plants|astrology|horoscope|occult|hidden science|conspiracy|hinduism|hindu|vedic'
TWEET_HASH_TAGS = 'dataanalysis|AugmentedIntelligence|datascience|machinelearning|rnd|businessintelligence|DigitalTransformation|datamanagement|ArtificialIntelligence'
class ssp.utils.config_manager.ConfigManager(config_path=None, key_value_pair_dict=None, string=None)[source]

Bases: object

Config manager to read ini file

add_section(section)[source]
get_item(section, option) → str[source]
get_item_as_boolean(section, option)[source]

Returns the value as bool :param section: :param option: :return:

get_item_as_float(section, option)[source]

Returns the value as float :param section: :param option: :return:

get_item_as_int(section, option)[source]

Returns the value as int :param section: :param option: :return:

get_sections()[source]
items(section, raw=False, vars=None)[source]
save_config()[source]
set_item(section, option, value)[source]
class ssp.utils.configuration.StreamingConfigs(config_file_path, twitter_ini_file='twitter.ini')[source]

Bases: object

Reads the config.ini using configparser

ssp.utils.eda.get_stop_words()[source]
ssp.utils.eda.get_value_count(df, label_col)[source]
ssp.utils.misc.check_n_mk_dirs(path, is_remove=False)[source]
ssp.utils.multicore_df_apply.df_multi_core(df, df_f_name, subset=None, njobs=- 1, **kwargs)[source]
ssp.utils.postgresql.close_connection(database_connection)[source]
ssp.utils.postgresql.create_pandas_table(sql_query, database_connection)[source]
ssp.utils.postgresql.postgressql_connection(host, port, database, user, password)[source]
class ssp.utils.singleton_metaclass.Singleton[source]

Bases: type

References: