BDDAVR-002 Here is a sample of machine learning code in Python using TensorFlow to create a simple linear regression model:
1. Create the following Python file: `ml_model.py`
```python
import tensorflow as tf
import numpy as np
from tensorflow. import linear_regression
from tensorflow. import train
from tensorflowsdk.data import read_tensor
from tensorflowsdk.data import write_tensor
from tensorflowsdk.data import read_instances
def train(X, y, model):
initial_m = svm.svm
initial_b = svm.svm
miniter = 1
y_shape = svm.svm
b_shape = svm.svm
model. central = svm.svm
model model = svm.svm
m = tf.tensor([[0.1, 0.2], [0.3, 0.4]])
b = tf.tensor([[0.1, 0.2], [0.3, 0.5]])
return [m, b]
def training(X, y):
model = tf. sample([1, y], '')
X = tf.tensor([[0.1, 0.2], [0.6, 0.7]])
y = tf.tensor([[0.1, 0.2], [0.6, 0.7]])
m = tf.tensor([[0.1, 0.2], [0.3, 0.4]])
b = tf.tensor([[0.1, 0.2], [0.3, 0.5]])
model: central = svm.svm
model model = svm.svm
return [m, b]
def central(X, y):
SV = SVM
SVM. central = svm.svm
model = tf.lama([[0.1, 0.2], [0.3, 0.4]])
model = tf.tensor([[0.1, 0.2], [0.3, 0.4]])
return [m, b]
end
end
```
2. Perform the algorithms:
```python
def predict(X, y)
# Model using a initial model
y = tf.compat.post([N, J], 0.3)
tensorplex = ...
param = tf.tensor([[0.1, 0.4], [0.3, 0.5]])
end
```
3. Now segment data:
```python
def predict(X, y):
svm = SVM
SVM. central = svm.svm
model = tf.tensor([[0.1, 0.2], [0.3, 0.4]])
model = tf.tensor([[0.1, 0.2], [0.3, 0.4]])
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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```python
def predict(m, b)
```
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13 Mei 2022
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