Added instals commands on readme

code/wilshire_5000/README.md

 # wilshire_5000
 
+Classical Installations Required : numpy, pandas, tensorflow and matplotlib (and warnings)
+
+Other Installation : statsmodels for ARIMA predictions (pip install statsmodels)
+
 ## Données 
 
 [Données](https://fred.stlouisfed.org/series/WILL5000INDFC)

code/wilshire_5000/grab_data.py

-import pandas
-import numpy as np
-
-csv = pandas.read_csv("WILL5000INDFC.csv")
-extraction = csv["WILL5000INDFC"].tolist()
-for i in range(len(extraction)) :
-	if extraction[i] == "." :
-		extraction[i] = extraction[i-1]
-extraction = np.array(extraction).astype(float)
-print(extraction)
-np.save("dataset.npy", extraction)

code/wilshire_5000/nn.py

 import pandas as pd
 import matplotlib.pyplot as plt
 import wilshire
-import tensorflow_addons as tfa
 from statsmodels.tsa.arima.model import ARIMA
 
 

code/wilshire_5000/notebook_wilshire.ipynb

    ],
    "source": [
     "## Plot all a with already saved models (the name of the folders should not be changed)\n",
+    "## the name of the models' folders should be \"Snake{a_value}a\"\n",
     "nn.plot_all_a(a=[\"1\",\"10\",\"20\",\"30\",\"50\",\"100\"])"
    ]
   },

code/wilshire_5000/results.txt

-100 epochs adam mse 2_runs 4_batch_size
-
-[[0.5401026606559753, 0.0], [0.5401026606559753, 0.0], [0.18415303528308868, 0.009042516350746155], 
-[0.1577790528535843, 0.0004640519618988037], [0.007161237532272935, 0.0007062254007905722]]
-
-
-[[0.0681375540792942, 0.11859790716458475], [0.0113261666148901, 0.002322317928070604], [nan, nan], 
-[0.008264125511050224, 0.0013573866481290681], [0.008175850845873356, 0.001503577316727166]]