jerheff

setwd("~/Desktop/R-tutorial/")

####
# Mapping example
####

# load packages
require(rgdal)
require(raster)
require(leaflet)

jerheff

def binary_crossentropy_with_ranking(y_true, y_pred):
    """ Trying to combine ranking loss with numeric precision"""
    # first get the log loss like normal
    logloss = K.mean(K.binary_crossentropy(y_pred, y_true), axis=-1)
    
    # next, build a rank loss
    
    # clip the probabilities to keep stability
    y_pred_clipped = K.clip(y_pred, K.epsilon(), 1-K.epsilon())

jerheff

bazel build -c opt --copt=-mavx --copt=-mavx2 --copt=-mfma --copt=-msse4.2 //tensorflow/tools/pip_package:build_pip_package

jerheff

# Example use of function calling to return structured data from GPT API

import asyncio
import json
import os
import sys

import openai

openai.api_key = os.getenv("OPENAI_API_KEY")