add inverse option

[charlesmartin14]

To support the doubel descent example

[charlesmartin14]

Option added in version 0.7.4.8
Still needs unit tests

[dexterdev]

TypeError: analyze() got an unexpected keyword argument 'inverse'

I am using the code below. It gave invere error!

import numpy as np
import weightwatcher as ww
X_train = np.random.normal(0, 1, (128, 128))

import torch
import torch.nn as nn

class SingleLayerModel(nn.Module):
    def __init__(self, weights):
        super(SingleLayerModel, self).__init__()

        # Infer dimensions from weights
        output_dim, input_dim = weights.shape

        # Initialize the linear layer without bias
        self.linear = nn.Linear(in_features=input_dim, out_features=output_dim, bias=False)

        # Set custom weights
        self.linear.weight = nn.Parameter(torch.tensor(weights, dtype=torch.float))

    def forward(self, x):
        # Forward pass through the linear layer
        return self.linear(x)

model = SingleLayerModel(weights=X_train)
watcher = ww.WeightWatcher(model=model)
details = watcher.analyze(inverse=True, plot=True, detX=True)