Removing previous artifacts...
Experiment started at 11:32:04
.......................................
INFO:tensorflow:Using config: {'_model_dir': 'trained_models/housing-price-model-01', '_tf_random_seed': 19830610, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': None, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 1000, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x11c2560f0>, '_task_type': 'worker', '_task_id': 0, '_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}
*Estimator Type:
================
<class 'tensorflow.python.estimator.canned.dnn_linear_combined.DNNLinearCombinedRegressor'>
*deep columns:
==============
[_NumericColumn(key='CRIM', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), _NumericColumn(key='ZN', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), _NumericColumn(key='INDUS', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), _NumericColumn(key='NOX', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), _NumericColumn(key='RM', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), _NumericColumn(key='AGE', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), _NumericColumn(key='DIS', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), _NumericColumn(key='RAD', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), _NumericColumn(key='TAX', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), _NumericColumn(key='PTRATIO', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), _NumericColumn(key='B', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), _NumericColumn(key='LSTAT', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), _IndicatorColumn(categorical_column=_VocabularyListCategoricalColumn(key='CHAS', vocabulary_list=('0', '1'), dtype=tf.string, default_value=-1, num_oov_buckets=0)), _IndicatorColumn(categorical_column=_BucketizedColumn(source_column=_NumericColumn(key='ZN', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), boundaries=(0, 10, 100))), _IndicatorColumn(categorical_column=_BucketizedColumn(source_column=_NumericColumn(key='RAD', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), boundaries=(0, 10, 25))), _IndicatorColumn(categorical_column=_BucketizedColumn(source_column=_NumericColumn(key='TAX', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), boundaries=(0, 200, 300, 500, 800)))]
wide columns:
=============
[_VocabularyListCategoricalColumn(key='CHAS', vocabulary_list=('0', '1'), dtype=tf.string, default_value=-1, num_oov_buckets=0), _BucketizedColumn(source_column=_NumericColumn(key='ZN', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), boundaries=(0, 10, 100)), _BucketizedColumn(source_column=_NumericColumn(key='RAD', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), boundaries=(0, 10, 25)), _BucketizedColumn(source_column=_NumericColumn(key='TAX', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), boundaries=(0, 200, 300, 500, 800)), _CrossedColumn(keys=(_BucketizedColumn(source_column=_NumericColumn(key='ZN', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), boundaries=(0, 10, 100)), _BucketizedColumn(source_column=_NumericColumn(key='RAD', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), boundaries=(0, 10, 25))), hash_bucket_size=4, hash_key=None), _CrossedColumn(keys=(_BucketizedColumn(source_column=_NumericColumn(key='ZN', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), boundaries=(0, 10, 100)), _BucketizedColumn(source_column=_NumericColumn(key='TAX', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), boundaries=(0, 200, 300, 500, 800))), hash_bucket_size=8, hash_key=None), _CrossedColumn(keys=(_BucketizedColumn(source_column=_NumericColumn(key='RAD', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), boundaries=(0, 10, 25)), _BucketizedColumn(source_column=_NumericColumn(key='TAX', shape=(1,), default_value=None, dtype=tf.float32, normalizer_fn=None), boundaries=(0, 200, 300, 500, 800))), hash_bucket_size=8, hash_key=None)]
INFO:tensorflow:Running training and evaluation locally (non-distributed).
INFO:tensorflow:Start train and evaluate loop. The evaluate will happen after 30 secs (eval_spec.throttle_secs) or training is finished.
* data input_fn:
================
Input file(s): data/housing-train-01.csv
Batch size: 177
Epoch Count: 10000
Mode: train
Thread Count: 4
Shuffle: True
================
INFO:tensorflow:Create CheckpointSaverHook.
INFO:tensorflow:Saving checkpoints for 1 into trained_models/housing-price-model-01/model.ckpt.
INFO:tensorflow:loss = 112947.0, step = 1
INFO:tensorflow:loss = 11180.4, step = 101 (0.716 sec)
INFO:tensorflow:loss = 8257.91, step = 201 (0.410 sec)
INFO:tensorflow:loss = 8317.15, step = 301 (0.450 sec)
INFO:tensorflow:loss = 6641.9, step = 401 (0.391 sec)
INFO:tensorflow:loss = 6661.59, step = 501 (0.388 sec)
INFO:tensorflow:loss = 5468.6, step = 601 (0.445 sec)
INFO:tensorflow:loss = 4553.24, step = 701 (0.411 sec)
INFO:tensorflow:loss = 5301.4, step = 801 (0.393 sec)
INFO:tensorflow:loss = 4527.23, step = 901 (0.403 sec)
INFO:tensorflow:global_step/sec: 227.168
INFO:tensorflow:loss = 4091.83, step = 1001 (0.395 sec)
INFO:tensorflow:loss = 4163.75, step = 1101 (0.372 sec)
INFO:tensorflow:loss = 4866.37, step = 1201 (0.396 sec)
INFO:tensorflow:loss = 4840.62, step = 1301 (0.405 sec)
INFO:tensorflow:loss = 3631.64, step = 1401 (0.421 sec)
INFO:tensorflow:loss = 3680.43, step = 1501 (0.440 sec)
INFO:tensorflow:loss = 2978.92, step = 1601 (0.420 sec)
INFO:tensorflow:loss = 3469.06, step = 1701 (0.534 sec)
INFO:tensorflow:loss = 3610.71, step = 1801 (0.558 sec)
INFO:tensorflow:loss = 3449.1, step = 1901 (0.487 sec)
INFO:tensorflow:global_step/sec: 223.457
INFO:tensorflow:loss = 2949.65, step = 2001 (0.444 sec)
INFO:tensorflow:loss = 3002.09, step = 2101 (0.384 sec)
INFO:tensorflow:loss = 2078.43, step = 2201 (0.377 sec)
INFO:tensorflow:loss = 2718.58, step = 2301 (0.383 sec)
INFO:tensorflow:loss = 2830.31, step = 2401 (0.519 sec)
INFO:tensorflow:loss = 2751.09, step = 2501 (0.473 sec)
INFO:tensorflow:loss = 2699.22, step = 2601 (0.432 sec)
INFO:tensorflow:loss = 2658.68, step = 2701 (0.442 sec)
INFO:tensorflow:loss = 2116.29, step = 2801 (0.443 sec)
INFO:tensorflow:loss = 3203.14, step = 2901 (0.490 sec)
INFO:tensorflow:global_step/sec: 225.415
INFO:tensorflow:loss = 2925.51, step = 3001 (0.490 sec)
INFO:tensorflow:loss = 2662.44, step = 3101 (0.629 sec)
INFO:tensorflow:loss = 2311.81, step = 3201 (0.481 sec)
INFO:tensorflow:loss = 2869.73, step = 3301 (0.529 sec)
INFO:tensorflow:loss = 2016.4, step = 3401 (0.617 sec)
INFO:tensorflow:loss = 2454.77, step = 3501 (0.530 sec)
INFO:tensorflow:loss = 2170.73, step = 3601 (0.578 sec)
INFO:tensorflow:loss = 2275.68, step = 3701 (0.434 sec)
INFO:tensorflow:loss = 2864.94, step = 3801 (0.445 sec)
INFO:tensorflow:loss = 2163.78, step = 3901 (0.516 sec)
INFO:tensorflow:global_step/sec: 194.771
INFO:tensorflow:loss = 2010.61, step = 4001 (0.376 sec)
INFO:tensorflow:loss = 2204.34, step = 4101 (0.375 sec)
INFO:tensorflow:loss = 1916.48, step = 4201 (0.484 sec)
INFO:tensorflow:loss = 2182.72, step = 4301 (0.554 sec)
INFO:tensorflow:loss = 2275.26, step = 4401 (0.589 sec)
INFO:tensorflow:loss = 2104.09, step = 4501 (0.552 sec)
INFO:tensorflow:loss = 2619.23, step = 4601 (0.486 sec)
INFO:tensorflow:loss = 2115.97, step = 4701 (0.395 sec)
INFO:tensorflow:Saving checkpoints for 4780 into trained_models/housing-price-model-01/model.ckpt.
INFO:tensorflow:Loss for final step: 2158.66.
* data input_fn:
================
Input file(s): data/housing-train-01.csv
Batch size: 177
Epoch Count: 1
Mode: eval
Thread Count: 4
Shuffle: False
================
INFO:tensorflow:Starting evaluation at 2017-12-19-11:32:43
INFO:tensorflow:Restoring parameters from trained_models/housing-price-model-01/model.ckpt-4780
INFO:tensorflow:Finished evaluation at 2017-12-19-11:32:44
INFO:tensorflow:Saving dict for global step 4780: average_loss = 12.181, global_step = 4780, loss = 2156.04
* data input_fn:
================
Input file(s): data/housing-train-01.csv
Batch size: 177
Epoch Count: 10000
Mode: train
Thread Count: 4
Shuffle: True
================
INFO:tensorflow:Create CheckpointSaverHook.
INFO:tensorflow:Restoring parameters from trained_models/housing-price-model-01/model.ckpt-4780
INFO:tensorflow:Saving checkpoints for 4781 into trained_models/housing-price-model-01/model.ckpt.
INFO:tensorflow:loss = 2147.72, step = 4781
INFO:tensorflow:loss = 2143.41, step = 4881 (0.756 sec)
INFO:tensorflow:loss = 2097.17, step = 4981 (0.460 sec)
INFO:tensorflow:loss = 2294.74, step = 5081 (0.449 sec)
INFO:tensorflow:loss = 2066.6, step = 5181 (0.436 sec)
INFO:tensorflow:loss = 2521.42, step = 5281 (0.422 sec)
INFO:tensorflow:loss = 2014.43, step = 5381 (0.463 sec)
INFO:tensorflow:loss = 1640.02, step = 5481 (0.447 sec)
INFO:tensorflow:loss = 2587.91, step = 5581 (0.411 sec)
INFO:tensorflow:loss = 2549.08, step = 5681 (0.542 sec)
INFO:tensorflow:global_step/sec: 207.262
INFO:tensorflow:loss = 2164.01, step = 5781 (0.442 sec)
INFO:tensorflow:loss = 2377.39, step = 5881 (0.565 sec)
INFO:tensorflow:loss = 2261.73, step = 5981 (0.428 sec)
INFO:tensorflow:loss = 2336.98, step = 6081 (0.480 sec)
INFO:tensorflow:loss = 2048.8, step = 6181 (0.461 sec)
INFO:tensorflow:loss = 1427.18, step = 6281 (0.394 sec)
INFO:tensorflow:loss = 1627.19, step = 6381 (0.395 sec)
INFO:tensorflow:loss = 1932.48, step = 6481 (0.402 sec)
INFO:tensorflow:loss = 1831.71, step = 6581 (0.418 sec)
INFO:tensorflow:loss = 1904.88, step = 6681 (0.400 sec)
INFO:tensorflow:global_step/sec: 230.187
INFO:tensorflow:loss = 1850.07, step = 6781 (0.401 sec)
INFO:tensorflow:loss = 2052.73, step = 6881 (0.420 sec)
INFO:tensorflow:loss = 1313.79, step = 6981 (0.536 sec)
INFO:tensorflow:loss = 2123.96, step = 7081 (0.388 sec)
INFO:tensorflow:loss = 2490.77, step = 7181 (0.527 sec)
INFO:tensorflow:loss = 2268.26, step = 7281 (0.416 sec)
INFO:tensorflow:loss = 1958.27, step = 7381 (0.379 sec)
INFO:tensorflow:loss = 2029.33, step = 7481 (0.532 sec)
INFO:tensorflow:loss = 1419.27, step = 7581 (0.491 sec)
INFO:tensorflow:loss = 2379.73, step = 7681 (0.518 sec)
INFO:tensorflow:global_step/sec: 215.421
INFO:tensorflow:loss = 2311.26, step = 7781 (0.436 sec)
INFO:tensorflow:loss = 2090.93, step = 7881 (0.416 sec)
INFO:tensorflow:loss = 1828.97, step = 7981 (0.391 sec)
INFO:tensorflow:loss = 2340.82, step = 8081 (0.465 sec)
INFO:tensorflow:loss = 1656.72, step = 8181 (0.545 sec)
INFO:tensorflow:loss = 1855.88, step = 8281 (0.506 sec)
INFO:tensorflow:loss = 1760.0, step = 8381 (0.491 sec)
INFO:tensorflow:loss = 1758.81, step = 8481 (0.406 sec)
INFO:tensorflow:loss = 2011.16, step = 8581 (0.402 sec)
INFO:tensorflow:loss = 1583.61, step = 8681 (0.378 sec)
INFO:tensorflow:global_step/sec: 228.401
INFO:tensorflow:loss = 1590.63, step = 8781 (0.379 sec)
INFO:tensorflow:loss = 1726.34, step = 8881 (0.377 sec)
INFO:tensorflow:loss = 1467.94, step = 8981 (0.381 sec)
INFO:tensorflow:loss = 1734.8, step = 9081 (0.384 sec)
INFO:tensorflow:loss = 1798.57, step = 9181 (0.371 sec)
INFO:tensorflow:loss = 1573.02, step = 9281 (0.392 sec)
INFO:tensorflow:loss = 2120.81, step = 9381 (0.371 sec)
INFO:tensorflow:loss = 1707.76, step = 9481 (0.366 sec)
INFO:tensorflow:loss = 1758.16, step = 9581 (0.373 sec)
INFO:tensorflow:Saving checkpoints for 9601 into trained_models/housing-price-model-01/model.ckpt.
INFO:tensorflow:Loss for final step: 1750.02.
* data input_fn:
================
Input file(s): data/housing-train-01.csv
Batch size: 177
Epoch Count: 1
Mode: eval
Thread Count: 4
Shuffle: False
================
INFO:tensorflow:Starting evaluation at 2017-12-19-11:33:22
INFO:tensorflow:Restoring parameters from trained_models/housing-price-model-01/model.ckpt-9601
INFO:tensorflow:Finished evaluation at 2017-12-19-11:33:23
INFO:tensorflow:Saving dict for global step 9601: average_loss = 9.45206, global_step = 9601, loss = 1673.01
* data input_fn:
================
Input file(s): data/housing-train-01.csv
Batch size: 177
Epoch Count: 10000
Mode: train
Thread Count: 4
Shuffle: True
================
INFO:tensorflow:Create CheckpointSaverHook.
INFO:tensorflow:Restoring parameters from trained_models/housing-price-model-01/model.ckpt-9601
INFO:tensorflow:Saving checkpoints for 9602 into trained_models/housing-price-model-01/model.ckpt.
INFO:tensorflow:loss = 1611.15, step = 9602
INFO:tensorflow:loss = 1739.64, step = 9702 (0.869 sec)
INFO:tensorflow:loss = 1560.11, step = 9802 (0.469 sec)
INFO:tensorflow:loss = 1843.71, step = 9902 (0.486 sec)
INFO:tensorflow:loss = 1585.38, step = 10002 (0.390 sec)
INFO:tensorflow:loss = 2072.79, step = 10102 (0.552 sec)
INFO:tensorflow:loss = 1674.35, step = 10202 (0.383 sec)
INFO:tensorflow:loss = 1281.92, step = 10302 (0.379 sec)
INFO:tensorflow:loss = 2018.57, step = 10402 (0.379 sec)
INFO:tensorflow:loss = 2076.87, step = 10502 (0.378 sec)
INFO:tensorflow:global_step/sec: 214.478
INFO:tensorflow:loss = 1604.89, step = 10602 (0.379 sec)
INFO:tensorflow:loss = 1987.8, step = 10702 (0.383 sec)
INFO:tensorflow:loss = 1753.7, step = 10802 (0.467 sec)
INFO:tensorflow:loss = 1796.46, step = 10902 (0.478 sec)
INFO:tensorflow:loss = 1627.76, step = 11002 (0.398 sec)
INFO:tensorflow:loss = 1038.53, step = 11102 (0.386 sec)
INFO:tensorflow:loss = 1323.91, step = 11202 (0.396 sec)
INFO:tensorflow:loss = 1557.44, step = 11302 (0.371 sec)
INFO:tensorflow:loss = 1409.94, step = 11402 (0.380 sec)
INFO:tensorflow:loss = 1576.73, step = 11502 (0.373 sec)
INFO:tensorflow:global_step/sec: 249.763
INFO:tensorflow:loss = 1653.69, step = 11602 (0.372 sec)
INFO:tensorflow:loss = 1626.22, step = 11702 (0.374 sec)
INFO:tensorflow:loss = 1109.03, step = 11802 (0.370 sec)
INFO:tensorflow:loss = 1643.76, step = 11902 (0.371 sec)
INFO:tensorflow:loss = 1967.91, step = 12002 (0.375 sec)
INFO:tensorflow:loss = 1806.67, step = 12102 (0.382 sec)
INFO:tensorflow:loss = 1543.41, step = 12202 (0.375 sec)
INFO:tensorflow:loss = 1605.5, step = 12302 (0.375 sec)
INFO:tensorflow:loss = 1195.67, step = 12402 (0.371 sec)
INFO:tensorflow:loss = 1870.8, step = 12502 (0.371 sec)
INFO:tensorflow:global_step/sec: 264.817
INFO:tensorflow:loss = 1942.84, step = 12602 (0.412 sec)
INFO:tensorflow:loss = 1666.73, step = 12702 (0.382 sec)
INFO:tensorflow:loss = 1456.07, step = 12802 (0.398 sec)
INFO:tensorflow:loss = 1919.65, step = 12902 (0.398 sec)
INFO:tensorflow:loss = 1352.23, step = 13002 (0.405 sec)
INFO:tensorflow:loss = 1591.82, step = 13102 (0.432 sec)
INFO:tensorflow:loss = 1550.31, step = 13202 (0.380 sec)
INFO:tensorflow:loss = 1497.18, step = 13302 (0.369 sec)
INFO:tensorflow:loss = 1688.95, step = 13402 (0.403 sec)
INFO:tensorflow:loss = 1446.38, step = 13502 (0.378 sec)
INFO:tensorflow:global_step/sec: 255.398
INFO:tensorflow:loss = 1331.56, step = 13602 (0.371 sec)
INFO:tensorflow:loss = 1554.7, step = 13702 (0.392 sec)
INFO:tensorflow:loss = 1327.72, step = 13802 (0.405 sec)
INFO:tensorflow:loss = 1465.16, step = 13902 (0.399 sec)
INFO:tensorflow:loss = 1482.0, step = 14002 (0.393 sec)
INFO:tensorflow:loss = 1282.1, step = 14102 (0.423 sec)
INFO:tensorflow:loss = 1850.84, step = 14202 (0.588 sec)
INFO:tensorflow:loss = 1567.97, step = 14302 (0.384 sec)
INFO:tensorflow:loss = 1494.26, step = 14402 (0.387 sec)
INFO:tensorflow:loss = 1369.25, step = 14502 (0.405 sec)
INFO:tensorflow:global_step/sec: 240.287
INFO:tensorflow:loss = 1164.21, step = 14602 (0.385 sec)
INFO:tensorflow:loss = 1569.89, step = 14702 (0.395 sec)
INFO:tensorflow:loss = 1914.09, step = 14802 (0.421 sec)
INFO:tensorflow:loss = 1635.57, step = 14902 (0.421 sec)
INFO:tensorflow:loss = 1091.0, step = 15002 (0.393 sec)
INFO:tensorflow:loss = 1467.56, step = 15102 (0.392 sec)
INFO:tensorflow:Saving checkpoints for 15102 into trained_models/housing-price-model-01/model.ckpt.
INFO:tensorflow:Loss for final step: 1467.56.
* data input_fn:
================
Input file(s): data/housing-train-01.csv
Batch size: 177
Epoch Count: 1
Mode: eval
Thread Count: 4
Shuffle: False
================
INFO:tensorflow:Starting evaluation at 2017-12-19-11:33:59
INFO:tensorflow:Restoring parameters from trained_models/housing-price-model-01/model.ckpt-15102
INFO:tensorflow:Finished evaluation at 2017-12-19-11:34:00
INFO:tensorflow:Saving dict for global step 15102: average_loss = 8.2391, global_step = 15102, loss = 1458.32
* data input_fn:
================
Input file(s): data/housing-train-01.csv
Batch size: 177
Epoch Count: 10000
Mode: train
Thread Count: 4
Shuffle: True
================
INFO:tensorflow:Create CheckpointSaverHook.
INFO:tensorflow:Restoring parameters from trained_models/housing-price-model-01/model.ckpt-15102
INFO:tensorflow:Saving checkpoints for 15103 into trained_models/housing-price-model-01/model.ckpt.
INFO:tensorflow:loss = 1403.81, step = 15103
INFO:tensorflow:loss = 1587.19, step = 15203 (0.812 sec)
INFO:tensorflow:loss = 1286.68, step = 15303 (0.381 sec)
INFO:tensorflow:loss = 1637.38, step = 15403 (0.402 sec)
INFO:tensorflow:loss = 1329.74, step = 15503 (0.398 sec)
INFO:tensorflow:loss = 1772.51, step = 15603 (0.511 sec)
INFO:tensorflow:loss = 1407.55, step = 15703 (0.384 sec)
INFO:tensorflow:loss = 1180.68, step = 15803 (0.393 sec)
INFO:tensorflow:loss = 1770.34, step = 15903 (0.392 sec)
INFO:tensorflow:loss = 1735.86, step = 16003 (0.415 sec)
INFO:tensorflow:global_step/sec: 223.346
INFO:tensorflow:loss = 1479.24, step = 16103 (0.390 sec)
INFO:tensorflow:loss = 1814.01, step = 16203 (0.384 sec)
INFO:tensorflow:loss = 1635.08, step = 16303 (0.388 sec)
INFO:tensorflow:loss = 1606.41, step = 16403 (0.535 sec)
INFO:tensorflow:loss = 1496.59, step = 16503 (0.382 sec)
INFO:tensorflow:loss = 938.824, step = 16603 (0.394 sec)
INFO:tensorflow:loss = 1169.67, step = 16703 (0.379 sec)
INFO:tensorflow:loss = 1377.32, step = 16803 (0.399 sec)
INFO:tensorflow:loss = 1316.57, step = 16903 (0.405 sec)
INFO:tensorflow:loss = 1477.35, step = 17003 (0.511 sec)
INFO:tensorflow:global_step/sec: 238.949
INFO:tensorflow:loss = 1545.88, step = 17103 (0.409 sec)
INFO:tensorflow:loss = 1433.12, step = 17203 (0.418 sec)
INFO:tensorflow:loss = 1091.55, step = 17303 (0.402 sec)
INFO:tensorflow:loss = 1429.21, step = 17403 (0.412 sec)
INFO:tensorflow:loss = 1549.26, step = 17503 (0.400 sec)
INFO:tensorflow:loss = 1631.92, step = 17603 (0.408 sec)
INFO:tensorflow:loss = 1302.46, step = 17703 (0.421 sec)
INFO:tensorflow:loss = 1352.51, step = 17803 (0.409 sec)
INFO:tensorflow:loss = 1167.69, step = 17903 (0.401 sec)
INFO:tensorflow:loss = 1605.68, step = 18003 (0.396 sec)
INFO:tensorflow:global_step/sec: 244.564
INFO:tensorflow:loss = 1693.61, step = 18103 (0.423 sec)
INFO:tensorflow:loss = 1455.94, step = 18203 (0.420 sec)
INFO:tensorflow:loss = 1241.86, step = 18303 (0.382 sec)
INFO:tensorflow:loss = 1726.32, step = 18403 (0.382 sec)
INFO:tensorflow:loss = 1224.85, step = 18503 (0.383 sec)
INFO:tensorflow:loss = 1467.28, step = 18603 (0.400 sec)
INFO:tensorflow:loss = 1401.62, step = 18703 (0.382 sec)
INFO:tensorflow:loss = 1363.92, step = 18803 (0.388 sec)
INFO:tensorflow:loss = 1490.52, step = 18903 (0.388 sec)
INFO:tensorflow:loss = 1466.06, step = 19003 (0.387 sec)
INFO:tensorflow:global_step/sec: 255.907
INFO:tensorflow:loss = 1178.05, step = 19103 (0.392 sec)
INFO:tensorflow:loss = 1413.14, step = 19203 (0.393 sec)
INFO:tensorflow:loss = 1232.06, step = 19303 (0.387 sec)
INFO:tensorflow:loss = 1298.45, step = 19403 (0.394 sec)
INFO:tensorflow:loss = 1302.67, step = 19503 (0.412 sec)
INFO:tensorflow:loss = 1113.79, step = 19603 (0.403 sec)
INFO:tensorflow:loss = 1643.6, step = 19703 (0.385 sec)
INFO:tensorflow:loss = 1404.25, step = 19803 (0.380 sec)
INFO:tensorflow:loss = 1390.34, step = 19903 (0.383 sec)
INFO:tensorflow:Saving checkpoints for 20000 into trained_models/housing-price-model-01/model.ckpt.
INFO:tensorflow:Loss for final step: 1468.92.
* data input_fn:
================
Input file(s): data/housing-train-01.csv
Batch size: 177
Epoch Count: 1
Mode: eval
Thread Count: 4
Shuffle: False
================
INFO:tensorflow:Starting evaluation at 2017-12-19-11:34:36
INFO:tensorflow:Restoring parameters from trained_models/housing-price-model-01/model.ckpt-20000
INFO:tensorflow:Finished evaluation at 2017-12-19-11:34:37
INFO:tensorflow:Saving dict for global step 20000: average_loss = 7.49497, global_step = 20000, loss = 1326.61
.......................................
Experiment finished at 11:34:37
Experiment elapsed time: 153.405469 seconds