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#The below 2 sections are commented, they control the default sound card to use
#This set up is for a Pi with an I2S microphone attached using the guide
#from adafruit at
# https://learn.adafruit.com/adafruit-i2s-mems-microphone-breakout
#Uncomment and the I2S will be your default card (assuming same setup)
#but you won't get audio playback because both recording and playback will be
#defaulted
#TODO - Figure out how to set default for recording separately
#To adjust use aplay -l to work out the devices you have and their card number
#For recording devices use arecord -l

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#!/bin/ bash

# VAR1=$1
# VAR2=$2
# VAR3=$3

python example.py ${VAR1}  ${VAR1}  ${VAR1} 
------------------------------------------------------------------------------------
Inside the python file.

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# ---------------------------------------------------------
# library imports.

import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from matplotlib.dates import DateFormatter, DayLocator, HourLocator

# *********************************************************

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import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from matplotlib.dates import DateFormatter
from datetime import timedelta, date


def datetime(x):
  return np.array(x, dtype = np.datetime64)

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import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from matplotlib.dates import DateFormatter, MinuteLocator, MonthLocator


def datetime(x):
  return np.array(x, dtype = np.datetime64)

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// SGD with variadic templates for policy type class.
template<typename DecomposableFunctionType, typename ... PolicyType>
class SGD{
}

// Use alias to declare most frequently used combinations.
using StandardSGD = SGD<FunctionType, EmptyUpdate, NoDecay>;
using SGD2 = SGD<FunctionType, MomentumUpdate, NoDecay>;
using SGD3 = SGD<FunctionType, NesterovUpdate, ExponentialDecay>;

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#include <iostream>

using namespace std;

int main()
{
   cout << "Hello World" << endl; 
   count << "Does is sync" << endl;
   
   return 0;

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#include <iostream>

using namespace std;

int main()
{
   cout << "Hello World" << endl; 
   
   return 0;
}

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// logistic_regression_test.cpp Lines[504-512]
// Very simple fake dataset.
arma::mat data("1 2 3;"
               "1 2 3");
arma::Row<size_t> responses("1 1 0");

// Create a logistic regression object using a custom SGD object with a much
// smaller tolerance.
LogisticRegressionFunction<> lrf(data, responses, 0.001);

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StandardSGD <LogisticRegressionFunction<>> sgdOpt(lrf);
sgdOpt.MaxIterations() = maxIterations;
sgdOpt.Tolerance() = tolerance;
sgdOpt.StepSize() = stepSize;
Log::Info << "Training model with SGD optimizer." << endl;

// This will train the model.
model.Train(sgdOpt);