Wandb and Structured Learning
Contents
Wandb and Structured Learning#
%load_ext autoreload
%autoreload 2
The autoreload extension is already loaded. To reload it, use:
%reload_ext autoreload
Imports#
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import StratifiedKFold
from sklearn.linear_model import LogisticRegression
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.naive_bayes import GaussianNB
from fastai.vision.all import *
from aiking.data.external import * #We need to import this after fastai modules
import wandb
path = untar_data("kaggle_competitions::titanic"); path
# untar_data??
Path('/content/drive/MyDrive/PPV/S_Personal_Study/aiking/data/titanic')
path.ls()
(#3) [Path('/content/drive/MyDrive/PPV/S_Personal_Study/aiking/data/titanic/train.csv'),Path('/content/drive/MyDrive/PPV/S_Personal_Study/aiking/data/titanic/test.csv'),Path('/content/drive/MyDrive/PPV/S_Personal_Study/aiking/data/titanic/gender_submission.csv')]
df = pd.read_csv(path/"train.csv"); df.head()
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-28-768b4736ad05> in <module>()
----> 1 df = pd.read_csv(path/"train.csv"); df.head()
TypeError: unsupported operand type(s) for /: 'NoneType' and 'str'
df.nunique()
PassengerId 891
Survived 2
Pclass 3
Name 891
Sex 2
Age 88
SibSp 7
Parch 7
Ticket 681
Fare 248
Cabin 147
Embarked 3
dtype: int64
df.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 891 entries, 0 to 890
Data columns (total 12 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 PassengerId 891 non-null int64
1 Survived 891 non-null int64
2 Pclass 891 non-null int64
3 Name 891 non-null object
4 Sex 891 non-null object
5 Age 714 non-null float64
6 SibSp 891 non-null int64
7 Parch 891 non-null int64
8 Ticket 891 non-null object
9 Fare 891 non-null float64
10 Cabin 204 non-null object
11 Embarked 889 non-null object
dtypes: float64(2), int64(5), object(5)
memory usage: 83.7+ KB