ajosh0504

# Select important fields to extract from session logs
# Get top 10 unique values for each of the fields, and a representative document for each unique value 
# Sample query on Infosec cluster:
GET logs-*/_search
{
  "query":{
    "bool": {
      "must": [
        {"match": {"host.os.type": "linux"}},
        {"match": {"process.session_leader.entity_id": "ODBjMTU4YmEtZDkzYy00YTU2LTg5MGItZjZhZGViM2JlNmQ5LTUyOTEwLTE2ODYxNjE2ODU="}},

ajosh0504

import elasticsearch import Elasticsearch
from pathlib import Path
from eland.ml.pytorch import PyTorchModel
from eland.ml.pytorch.transformers import TransformerModel

# Load the custom model
tm = TransformerModel("model", "text_classification")

# Export the model to a TorchScript representation which Elasticsearch uses
tmp_path = "models"