jadechip

CREATE OR REPLACE MODEL `ecommerce.classification_model`
OPTIONS
(
model_type='logistic_reg',
labels = ['will_buy_on_return_visit']
)
AS

#standardSQL
SELECT

jadechip

#!/usr/bin/env python
"""
Copyright Google Inc. 2016
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software

jadechip

class Agent():
    """Interacts with and learns from the environment."""
    
    def __init__(self, state_size, action_size, random_seed, memory):
        """Initialize an Agent object.
        
        Params
        ======
            state_size (int): dimension of each state
            action_size (int): dimension of each action

jadechip

# Simple function approximators

def hidden_init(layer):
    fan_in = layer.weight.data.size()[0]
    lim = 1. / np.sqrt(fan_in)
    return (-lim, lim)

class Actor(nn.Module):
    """Actor (Policy) Model."""

jadechip

class Agent():
    """Interacts with and learns from the environment."""
    
    def __init__(self, state_size, action_size, random_seed):
        """Initialize an Agent object.
        
        Params
        ======
            state_size (int): dimension of each state
            action_size (int): dimension of each action

jadechip

def hidden_init(layer):
    fan_in = layer.weight.data.size()[0]
    lim = 1. / np.sqrt(fan_in)
    return (-lim, lim)

class Actor(nn.Module):
    """Actor (Policy) Model."""

    def __init__(self, state_size, action_size, seed, fc1_units=400, fc2_units=300):

jadechip

class Agent():

    def __init__(self, state_size, action_size, seed):
        self.state_size = state_size
        self.action_size = action_size
        self.seed = random.seed(seed)
        
        # Q-Network
        self.qnetwork_local = QNetwork(state_size, action_size, seed).to(device)
        self.qnetwork_target = QNetwork(state_size, action_size, seed).to(device)

jadechip

class QNetwork(nn.Module):
    """Actor (Policy) Model."""

    def __init__(self, state_size, action_size, seed, fc1_units=64, fc2_units=64):
        super(QNetwork, self).__init__()
        self.seed = torch.manual_seed(seed)
        self.fc1 = nn.Linear(state_size, fc1_units)
        self.fc2 = nn.Linear(fc1_units, fc2_units)
        self.fc3 = nn.Linear(fc2_units, action_size)

jadechip

#!/bin/bash

# Set environment variables
export DRONE_SERVER_HOST=${DRONE_SERVER_HOST} # i.e drone.mydomain.io
export DRONE_RPC_SECRET=${DRONE_RPC_SECRET} # i.e correct-horse-batter-staple
export DRONE_GITHUB_CLIENT_ID=${DRONE_GITHUB_CLIENT_ID} # i.e di2450-3huchuy-fdhu378-k24556892
export DRONE_GITHUB_CLIENT_SECRET=${DRONE_GITHUB_CLIENT_SECRET} # i.e dx19x3-3o44h0y-id6uf7h-q4fg5hkp2

jadechip

---
- hosts: droneci
  become: true
  vars:
    ansible_python_interpreter: "/usr/bin/env python3"  
  environment:
    DRONE_SERVER_HOST: '{{ lookup("env", "DRONE_SERVER_HOST") }}'
    DRONE_RPC_SECRET: '{{ lookup("env", "DRONE_RPC_SECRET") }}'
    DRONE_GITHUB_CLIENT_ID: '{{ lookup("env", "DRONE_GITHUB_CLIENT_ID") }}'
    DRONE_GITHUB_CLIENT_SECRET: '{{ lookup("env", "DRONE_GITHUB_CLIENT_SECRET") }}'