scuddalo

```from sklearn.metrics.pairwise import cosine_similarity
from sklearn.preprocessing import StandardScaler, OneHotEncoder
import numpy as np

# Placeholder functions to generate embeddings and scale features
def get_text_embedding(text):
    return np.random.rand(1, 300)  # Placeholder for NLP model embedding

def scale_numerical_feature(value, feature_name):
    # Placeholder for feature scaling, using a dictionary to simulate different scalers for different features

scuddalo

Keybase proof

I hereby claim:

• I am scuddalo on github.
• I am santoash (https://keybase.io/santoash) on keybase.
• I have a public key ASApZ0DHl_3mDBTq5j1X9lYPq9FRq14H1XZf4RXVPDsO7wo

To claim this, I am signing this object:

scuddalo

### Keybase proof

I hereby claim:

  * I am scuddalo on github.
  * I am santoash (https://keybase.io/santoash) on keybase.
  * I have a public key ASApZ0DHl_3mDBTq5j1X9lYPq9FRq14H1XZf4RXVPDsO7wo

To claim this, I am signing this object:

scuddalo

scuddalo

alter table aiclaims.di_prediction add column claim_version_id UUID references aiclaims.di_claim_version (claim_version_id) deferrable initially deferred;

CREATE OR REPLACE FUNCTION update_prediction_claim_version()
RETURNS VOID AS $$
DECLARE
    rec RECORD;
BEGIN
    FOR rec IN SELECT
            DISTINCT c1.claim_version_id,
            c0.claim_number

scuddalo

steps:
    timeDelta:
      stepType: timeDelta
      cateogry: transformation
      input:
        - name: datasetId
          type: Dataset
        - name: columnOne
          type: Column
          # this refers the dataset this column is associated with

scuddalo

from dask import dataframe

from configs.config import Config
import dask.dataframe as dd
from dask.distributed import Client

import dateparser

class DataFormatStep:
    def __init__(self, client: Client):

scuddalo

{
  "customerNumber": "510052",
  "effectiveDate": "2018-05-11",
  "countryCd": "US",
  "riskStateCd": "FL",
  "pricingTierCd": "Standard",
  "insured": {
    "corporateName": "Flowers",
    "priorYearRevenue": 1,
    "sicCode": "11112",

scuddalo

2018-04-01T21:46:37.472-0700 [default-akka.actor.default-dispatcher-4] INFO  a.s.s.Logging - [createQuote] [json sent to the partner: {"customerNumber":"510036","effectiveDate":"1970-01-01","countryCd":"US","riskStateCd":"CA","pricingTier":"Standard","insured":{"corporateName":"Mannar and Company","priorYearRevenue":200000,"businessStartedDate":"1970-01-01","numberOfEmployees":4,"address":{"addressLine1":"1 sansome st","addressLine2":"","addressLine3":"","city":"San Francisco","county":"SFO","postalCode":"95012","stateProvCd":"CA","countryCd":"US"}},"contacts":[{"firstName":"Santoash1234","lastName":"Rajaram","middleName":"","genderCd":"female","dateOfBirth":"1970-01-01","email":"1234@email.com","phone":null,"preferredInd":true}],"riskLocations":[{"seqNo":0,"companyLocation":"San Francisco","address":{"addressLine1":"1 sansome st","addressLine2":"","addressLine3":"","city":"San Francisco","county":"SFO","postalCode":"95012","stateProvCd":"CA","countryCd":"US"}},{"seqNo":1,"companyLocation":"Alameda","address"

scuddalo

  implicit val handler: LogHandler = {
    val sqlLogger = LoggerFactory.getLogger(getClass.getName)
    LogHandler {
      case Success(s, a, e1, e2) =>
        sqlLogger.info(s"""Successful Statement Execution:
            |  ${s.lines.dropWhile(_.trim.isEmpty).mkString("\n  ")}
            |
            | arguments = [${a.mkString(", ")}]
            |   elapsed = ${e1.toMillis} ms exec + ${e2.toMillis} ms processing (${(e1 + e2).toMillis} ms total)
          """.stripMargin)