Syllabus |
Slides and Assignments |
Project |
Lecturer
Assignment codes might be modified during the semester so please pull from this repo first and overwrite your repo with the Preprocess folder.
Complete the code in my_preprocess.py
Test my_preprocess with A2.py
Expected output:
(base) D:\projects\DSCI-633\assignments\Preprocess>python A2.py
[[-1.06566276e-01 6.90319129e-02]
[-9.82349093e-02 5.90195265e-02]
[-9.84275698e-02 6.25091996e-02]
[-9.84185078e-02 5.88371714e-02]
[-1.07188745e-01 7.04246870e-02]
[-1.23360572e-01 6.82285240e-02]
[-1.04434643e-01 6.13708120e-02]
[-1.05504936e-01 6.60640095e-02]
[-9.31389938e-02 5.50137390e-02]
[-9.76909491e-02 6.37989914e-02]
[-1.12591365e-01 7.32908475e-02]
[-1.05066065e-01 6.44888802e-02]
[-9.45250531e-02 6.22393376e-02]
[-1.21264969e-01 7.13620676e-02]
[-1.14686967e-01 7.01573039e-02]
[-1.10591790e-01 6.63977687e-02]
[-1.16283205e-01 6.46737141e-02]
[-9.99973360e-02 7.14991773e-02]
[-1.15879868e-01 5.22970457e-02]
[-1.08222899e-01 6.23765058e-02]
[-1.01085040e-01 5.80467791e-02]
[-1.12485778e-01 5.80492580e-02]
[-1.08364129e-01 6.87632903e-02]
[-1.05943807e-01 6.76391387e-02]
[-1.01584404e-01 6.03968252e-02]
[-1.00961935e-01 5.90040511e-02]
[-1.14415797e-01 6.04953916e-02]
[-1.13608109e-01 8.33882619e-02]
[-1.19124879e-01 8.35718564e-02]
[-9.76909491e-02 6.37989914e-02]
[-9.96120149e-02 6.45198311e-02]
[-1.08496296e-01 7.14780465e-02]
[-9.76909491e-02 6.37989914e-02]
[-9.34547594e-02 5.75461402e-02]
[-1.06250511e-01 6.64995117e-02]
[-1.07732706e-01 6.56452221e-02]
[-8.75883101e-02 4.15283944e-02]
[-9.61908467e-02 6.12026930e-02]
[-1.19782385e-01 5.25669077e-02]
[-1.21860361e-01 6.36854913e-02]
[-1.00453617e-01 5.49287109e-02]
[-1.12774963e-01 7.31084924e-02]
[-9.87342734e-02 6.13695726e-02]
[-1.11845790e-01 7.28553453e-02]
[-1.03084615e-01 6.49398579e-02]
[-1.86924615e-01 4.72174738e-03]
[-1.83310894e-01 -1.38329691e-04]
[-1.89879834e-01 -2.60559417e-03]
[-1.53098378e-01 -9.68108646e-03]
[-1.79636572e-01 -7.72005781e-03]
[-1.66691135e-01 -3.18932408e-03]
[-1.89002201e-01 -3.80911847e-03]
[-1.33734184e-01 5.42899023e-03]
[-1.76110314e-01 -4.68260176e-03]
[-1.57843103e-01 4.54057327e-03]
[-1.80163014e-01 3.69933873e-03]
[-1.74610212e-01 -7.27890022e-03]
[-1.52966709e-01 9.20034099e-03]
[-1.68139309e-01 -1.92920980e-02]
[-1.49599198e-01 2.42572002e-03]
[-1.91632702e-01 -1.53941552e-02]
[-1.64412043e-01 2.07330879e-03]
[-1.77198126e-01 -1.61882658e-02]
[-1.68813707e-01 7.99748549e-04]
[-1.71173644e-01 3.09571744e-03]
[-1.78049396e-01 1.43556012e-03]
[-1.81013569e-01 -4.16648740e-03]
[-1.94001484e-01 -1.33196265e-02]
[-1.76224466e-01 -7.36516773e-03]
[-1.44539423e-01 1.11613112e-02]
[-1.46433302e-01 8.66066217e-04]
[-1.42416742e-01 5.22550436e-03]
[-1.56790716e-01 3.29796389e-03]
[-1.82766328e-01 -1.89017826e-02]
[-1.73119063e-01 -8.14990467e-03]
[-1.86028966e-01 -1.87909915e-03]
[-1.86284130e-01 -2.06834901e-03]
[-1.63272085e-01 -9.01356789e-03]
[-1.64472536e-01 2.84822566e-03]
[-1.55834466e-01 -6.02453369e-03]
[-1.58447339e-01 -3.35744315e-03]
[-1.76426080e-01 -2.15020057e-03]
[-1.56474951e-01 7.65562706e-04]
[-1.33111715e-01 4.03621607e-03]
[-1.61420683e-01 -3.34072829e-03]
[-1.63306107e-01 6.23491643e-03]
[-1.64902345e-01 7.51326699e-04]
[-1.69682495e-01 2.22471300e-03]
[-1.36400824e-01 6.58533211e-03]
[-1.62482023e-01 -3.72824888e-04]
[-2.29360352e-01 -4.58605610e-02]
[-1.90168025e-01 -3.07387271e-02]
[-2.18311411e-01 -3.25359942e-02]
[-1.98929092e-01 -2.47699739e-02]
[-2.15749968e-01 -3.81001960e-02]
[-2.29405229e-01 -3.52873567e-02]
[-1.68479537e-01 -2.67794244e-02]
[-2.13750782e-01 -2.53438253e-02]
[-1.98543771e-01 -3.17493201e-02]
[-2.41226930e-01 -3.71603366e-02]
[-2.05191546e-01 -2.22041430e-02]
[-1.96746027e-01 -2.95339634e-02]
[-2.11865575e-01 -3.10260016e-02]
[-1.88598367e-01 -3.77819707e-02]
[-2.06357478e-01 -4.71870175e-02]
[-2.15443373e-01 -3.50138349e-02]
[-2.00736007e-01 -2.13665683e-02]
[-2.45111712e-01 -2.45850815e-02]
[-2.33764026e-01 -5.15879611e-02]
[-1.71909550e-01 -2.36837264e-02]
[-2.23380357e-01 -3.56528229e-02]
[-1.90904646e-01 -3.20285189e-02]
[-1.91440041e-01 -1.88838284e-02]
[-2.07199469e-01 -3.71286881e-02]
[-2.03183298e-01 -1.31198004e-02]
[-2.13988039e-01 -2.89836632e-02]
[-2.37517463e-01 -1.42910760e-02]
[-2.10163751e-01 -4.07840014e-02]
[-1.83406813e-01 -1.21116862e-02]
[-1.81476685e-01 -1.65045541e-02]
[-2.30817977e-01 -3.86418571e-02]
[-2.23555002e-01 -3.75604720e-02]
[-2.01358476e-01 -1.99737941e-02]
[-1.89642189e-01 -1.86152058e-02]
[-2.12926915e-01 -2.80580982e-02]
[-2.22433168e-01 -4.13032923e-02]
[-2.15698645e-01 -3.32563505e-02]
[-1.90168025e-01 -3.07387271e-02]
[-2.24739338e-01 -3.74965748e-02]
[-2.29185815e-01 -4.20061777e-02]
[-2.13891731e-01 -3.66597562e-02]
[-1.90107532e-01 -3.15136440e-02]
[-2.03507737e-01 -2.65648206e-02]
[-2.17740589e-01 -3.29324113e-02]
[-1.92053449e-01 -2.11630824e-02]]
Counter({'Iris-setosa': 23, 'Iris-versicolor': 23, 'Iris-virginica': 23})
Counter({'Iris-setosa': 45, 'Iris-versicolor': 45, 'Iris-virginica': 45})
['Iris-setosa' 'Iris-setosa' 'Iris-setosa' 'Iris-setosa' 'Iris-setosa'
'Iris-versicolor' 'Iris-versicolor' 'Iris-versicolor' 'Iris-versicolor'
'Iris-versicolor' 'Iris-virginica' 'Iris-virginica' 'Iris-virginica'
'Iris-virginica' 'Iris-virginica']
Prediction results can be a little bit different due to randomness in stratified sampling (but should be very similar).
- importing additional packages such as sklearn is not allowed.
- 4 (out of 7) points will be received if A2.py successfully runs and makes predictions
- The rest 3 points will be given based on the percentage of same predictions with the correct implementation.
- If my_preprocess.py is too difficult to implement, you can try to complete my_preprocess_hint.py.
- Then, remember to rename it as my_preprocess.py before submitting.
- If you did not use the hint file, add a comment in your my_preprocess.py:
I did not use the hint file. - The TA will check the comment and judge whether you have used the hint file. You will receive 1 bonus credit to this assignment if the TA verifies this.