c9642571c23004a10e8bca1a5b1446af399f80db,keras/callbacks.py,History,on_batch_end,#History#Any#Any#,198

Before Change

    def on_batch_end(self, batch, logs={}):
        batch_size = logs.get("size", 0)
        self.seen += batch_size
        for k, v in logs.items():
            if k in self.totals:
                self.totals[k] += v * batch_size
            else:
                self.totals[k] = v * batch_size

    def on_epoch_end(self, epoch, logs={}):
        self.epoch.append(epoch)
        for k, v in self.totals.items():
            if k not in self.history:

After Change

        // skip progbar update for the last batch;
        // will be handled by on_epoch_end
        if self.verbose and self.seen < self.params["nb_sample"]:
            self.progbar.update(self.seen, self.log_values)

    def on_epoch_end(self, epoch, logs={}):
        for k in self.params["metrics"]:
            if k in logs:
                self.log_values.append((k, logs[k]))

Instances