Wall of text coming, will be a TL;DR (Too long didn't read) at the bottom if you want to skip this.
My wife and I are going to Vegas in 2 weeks! (My second time). We have 4 days at New York/New York (comped from MGM) heading to Anaheim for 3 days to check out Disneyland and some escape rooms. When we come back we will be staying at the D (that's to their generosity) before leaving to come back home.
Our bankroll will be about $200-250 per day (any money left from the previous day we split and add to the next day. Worked well for us last year). This will make life difficult on the strip. We plan to play mostly at Excalibur. My wife mostly plays slots, so I'll likely end up at other strip casinos so I'll need something to do. Any idea what the limits are for bubble craps machines on the strip? Are there any cheaper ones at MGM or Caesars properties? (Min $1-3 would be awesome, but I know that is dreaming). We plan to see Shin Lim at the Mirage so we will likely play something before the show. We also plan to see Mat Franco at the Linq, so I'm guessing my wife will want to play some slots there, so I'll be hoping for some cheaper bubble craps as well.
We plan to take a day to travel to other parts of Las Vegas. I plan to go towards the Boulder Strip and play craps at Joker's Wild and any other cheaper places over on that side of town (suggestions welcome). I know that those areas have a lot of locals, new dealers and slower play, which I'm fine with. Hoping to find some of those cheap tables out that way.
We also considered heading towards the north end to check out the Aliante Casino and any others up there. We won't be in Vegas in time to check out the Hard Rock, which we never went into and never got to go into Hooters.
We plan to be downtown for a large portion of our trip (we have a rental) and play at Golden Gate, the D and Four Queens. We didn't play at the California or Main St last time, so we plan to check them out since we have a Boyd property close to home. We love downtown and except to spend much of our time there. We did stay and play at Fremont last time (since it was comped from play at our local Boyd casino), but it wasn't our favorite place. We never went into Golden Nugget since it seemed more expensive at night and Binions we spent maybe 15 minutes there. The Plaza we only ate there, but never had a chance to play.
My wife hit a jackpot at Golden Gate last year and loved the D so we plan to spend a lot of time there. They have a horse racing game upstairs that uses tokens, didn't get a chance to play it last time. We also both appreciate the dancing dealers. As well, they have a table game that is poker but has wilds. It was pretty fun and we could play for quite a while before starting to lose money.
We also want to hit the El Cortez to play the old slot machines with quarters/tokens and check out their craps tables.
On our trip to California, we considered stopping by some of those casinos in Primm (Buffalo Bills, Whiskey Petes, Primm Valley) because they look like fun dive places we could spend an hour or two at, get something to eat and break up our drive. Any experience with those?
If we run out of money, we plan to check out the Neon Museum, the Pinball Museum and take in some people watching. As well, I didn't get into all of the strip casinos (like the Cosmo, Cromwell and a few others to get my $1 chip).
All in all, we have a lot we want to do in a short period of time. More travel means less money spent on gambling right?
The TL;DR - looking for cheap bubble craps options on the strip, cheap places to play off the strip, craps parlours/old places to play that I should check into.
Any suggestions are welcome.
submitted by I've had an idea for a Mafia IV that would be a 3-chapter game, with each one sold and released separately. They would take place in:
Chapter I - The Italian island of Sicily, with the large city of Vucciria (Palermo), as well as towns of Casbach (Mazara del Vallo) and Templi (Agrigento), plus the countryside. March 1977-October 1977.
Chapter II - The city of Las Platas, Aztec (Las Vegas, NV) and its metro area, as well as the Cañon Rojo (Red Rock Canyon) and Lake Draught (Lake Mead) areas, and the McHawkins Army Base. October 1977-May 1978.
Chapter III - Empire Bay, plus the coast of West Guernsey (New Jersey) with the towns of Trunk (Long Branch) and Westport (Atlantic City). February 1979-September 1979.
Story - Chapter I - Paolo Baldini, the 22-year-old son of Vizzini crime family member Gustavo Baldini, who used to live in Las Platas and help his friend Patrizio Sinacore run a casino there, joins the Vizzinis with the encouragement of Ennio Muraca, a family friend in the mob. Together with other young Vizzini guys, he works his way up in the gang, becoming a made man. However, his father's murder by the rival Serrata family makes his suspicions of being targeted arise; he moves to Sinacore in Platas, while having his family move to relatives on the "boot".
- Chapter II - Paolo arrives in Platas, only to find that Sinacore's casino isn't doing as well as he expected, and is on track to losing its license, thanks to the rivals of the Vizzinis' LP chapter, the Lavianos. Other enemies are the White Knights, a white supremacist gang, the Highway Angels, a biker gang and the Hispanic Highgate Boys. He still helps the Vizzinis make a stand, while making Sinacore trust him (he originally deeply believed that Paolo's father betrayed him by leaving) by stopping the license cancellation, and finally helps them in a bombing of the Lavianos' Desierta Resort and a heist on the Laviano-funded Domus Aurea (stand-in for Caesar's Palace) casino. However, the heist leaves him with people in Las Platas who know what he did, many not friendly, so Baldini moves to Empire Bay with his cut.
- Chapter III - Paolo learns that one of his father's killers, Ariberto Falbo, is living in Empire Bay. The man who tells him that is Elpidio Domino, a man who was nearly killed by Falbo. Together, they kill Falbo, but this only puts them in a deeper hole of murders, finally drawing the ire of the Vinci crime family on them, and to add insult to injury, they also mess with the Triads' and Bombers' business. The game ends on a cliffhanger, suggesting that Baldini gets killed by the Bombers, as well as the murder of Domino.
New features: - Multiplayer would be added, with the players working as members of the Vizzini (Platami, Las Platas) or Sabella (Empire Bay) crime families, doing jobs (both single-person and cooperative, as well as heists) for them.
- It would be the first Mafia game with a first-person view, as well as 4K capabilities.
- Motorcycles and planes are introduced, with the motorcycles available since the start of Chapter I, while planes are introduced by a flight school mission in Chapter II.
- Players are able to own, buy and customize cars, boats, motorcycles and planes they want to have. Select (though it's a wide range) vehicles can also be equipped with bulletproof windows, run-flat tires, armor and telephones. Customization can be found on traffic vehicles (you never know if that luxury sedan doesn't also have a phone or run-flats, or you can see a gangster's chopper motorbike, or a plane with floaters).
- Players can use payphones, phones in open houses or businesses or car phones to call support from their gang (manpower, gun store, vehicle delivery), call a cab before vehicle delivery or call the police on their assailants.
- Players can wear different types of clothes, with weapon carry limitations depending on the clothes worn (e.g. you can only conceal small handguns and something like a garota in shorts and a tank top, but a longcoat can hide a lot more). Excess guns can be put in car trunks or gloveboxes.
- Players can buy and own apartments and houses, and have a choice of interior decor and furnishings. They can also get plane hangars.
-Players can watch fictional TV shows and news (think GTA IV/V, but more serious) on 2 different channels.
- Players can gamble in casinos.
Vehicle list:
Cars: Chapter I Aero - Lancia Stratos 2-door coupe/targa,
Romana - Lancia Flavia 2-door coupe/convertible,
Tortona - Lancia Fulvia 4-door sedan,
Zeta - Lancia Beta Berlina 4-door fastback,
A16 - Autobianchi A112 3-door hatchback,
550 - Fiat 500 2-door sedan,
650 - Fiat 126 2-door sedan,
800 - Fiat 850 2-door sedan,
1100 - Fiat 127 3-door hatchback,
1400V - Fiat 238 panel van,
1600 - Fiat 124 4-door sedan,
1800 - Fiat 131 Mirafiori 4-door sedan (incl. police),
1900 - Fiat 125 5-door wagon,
1800SV - Fiat 124 Sport Spider roadstetarga/coupe,
2000D - Fiat 132 4-door sedan (incl. taxi),
Tuscani - Fiat Campagnola 2-door offroader,
Arco - Alfa Romeo Alfasud 4-door fastback,
Cabrio - 1974 Alfa Romeo Spider 2-door roadstetarga/coupe,
Falerno - Alfa Romeo Alfetta 4-door sedan (incl. police and Carabinieri),
Medici - Alfa Romeo Giulia (Type 105) 4-door sedan (incl. Carabinieri),
XT - Citroen DS21 4-dooor sedan/convertible,
80 - 1974 Oldsmobile 88 4-door hardtop/hearse,
3000 Riviera - Ferrari 308 2-door coupe/targa,
4200 Tampa - Ferrari Daytona 2-door coupe/targa/convertible,
Berlina - 1963 Maserati Quattroporte sedan,
Perbatto - Lamborghini Countach 2-door coupe/targa,
519e - BMW E12 520i 4-door sedan,
Costa - Opel Ascona B 2-door sedan/targa,
Pilot - Opel Kadett B 3-door wagon,
1100 - Simca 1000 4-door sedan,
Ball - VW Golf Mk1 3-door hatchback/convertible,
Cocce - VW Beetle 2-door sedan/convertible,
627 - 1974 Porsche 911 2-door coupe/targa/convertible.
D200 - Mercedes-Benz W115 4-door sedan (incl. taxi),
GE420 - Mercedes-Benz W116 4-door sedan,
GL450 - Mercedes-Benz R107 2-door coupe/targa/roadster,
TA3 - Mercedes-Benz T2 panel van/minibus/armoured van,
Ponderosa - 1973 Chevrolet K5 Blazer,
Ampezzo - Ford Cortina MkII 4-door sedan,
Cavalcade - Ford Escort MkII 2-door sedan/convertible,
Statesman - 1970 Range Rover 2-door SUV,
Golden Dawn - Rolls-Royce Silver Shadow 4-door sedan.
Chapter II: Aero - Lancia Stratos 2-door coupe/targa,
Bastelli:
1900 SV - Fiat 124 Sport Spider 2-door coupe/targa/roadster,
Tourer - 1977 Buick Estate 5-door wagon,
M355 - 1965 Kaiser-Jeep M715 (military/civilian surplus),
Taxi - Checker Maraton 4-door sedan,
Cabrio - 1974 Alfa Romeo Spider 2-door roadster,
XT - Citroen DS21 4-door sedan/convertible,
90 - 1967 Oldsmobile 98 4-door sedan,
80 - 1974 Oldsmobile 88 4-door sedan,
Cavalcade - 1973 Oldsmobile Toronado 2-door coupe/convertible,
Sabre Custom - 1975 Oldsmobile Cutlass Supreme 2-door coupe/targa,
Corporal - 1964 Plymouth Valiant 5-door wagon,
Moire - 1975 Plymouth Gran Fury 4-door sedan (incl. police and taxi),
Southport - 1966 Chrysler Newport 5-door wagon,
3000 Riviera - Ferrari 308 2-door coupe/targa,
4200 Tampa - Ferrari Daytona 2-door coupe/targa/convertible,
DT100 - 1955 Dodge C100 single cab pickup truck,
Sedan - 1965 Imperial LeBaron 4-door sedan,
Attache - 1966 AMC Ambassador 4-door sedan,
Berlina - 1963 Maserati Quattroporte sedan,
Perbatto - Lamborghini Countach 2-door coupe/targa,
529e - BMW E12 530i 4-door sedan,
Provincial Series VI - 1975 Lincoln Continental Mark IV 2-door coupe/convertible,
Provincial Series VII - 1977 Lincoln Continental Mark V 2-door coupe/convertible,
Boulevard - 1973 Cadillac DeVille 4-door sedan,
Conluenzo - 1959 Cadillac Eldorado 2-door coupe/convertible,
Hearse - 1976 Cadillac Series 75 hearse,
Hollywood - 1977 Cadillac Fleetwood 4-door sedan,
Limousine - 1976 Cadillac Series 75 limousine/convertible,
Pilot - Opel Kadett B 3-door wagon,
160 - Datsun 610 5-door wagon,
180 - Datsun 620 2-door pickup,
ST25 - Datsun 240Z 2-door coupe,
Conestoga - 1974 Jeep Wagoneer 4-door SUV,
Utility - Jeep CJ5 2-door offroader,
Ball - VW Rabbit Mk1 3-door hatchback/convertible,
Model A "Bug" - VW Beetle 2-door sedan/convertible,
Model B "Freerider" - 1966 VW Type 2 panel van/minibus,
Longchamp - 1976 Pontiac Grand Ville 2-door coupe/convertible,
Sarthe (1st gen) - 1970 Pontiac LeMans 2-door coupe/convertible,
Sarthe (2nd gen) - 1976 Pontiac LeMans 4-door sedan (incl. police),
627 - 1974 Porsche 911 2-door coupe/targa/convertible,
GE420 - Mercedes-Benz W116 4-door sedan.
GL450 - Mercedes-Benz R107 2-door coupe/targa/roadster.
Windsor - 1949 Mercury Eight 2-door coupe/convertible,
Lynx - 1976 Stutz Blackhawk 2-door coupe/targa/convertible,
Beverly - 1955 Chevrolet Bel Air coupe/convertible,
Compostela - 1968 Chevrolet El Camino 2-door pickup,
Dispatcher 2500 - 1973 Chevrolet Suburban K20 4-door SUV (incl. sheriff),
Executive - 1977 Chevrolet Impala 4-door sedan (incl. police, taxi and detective),
Frigate - 1971 Chevrolet Corvette 2-door coupe/targa/roadster,
Ponderosa - 1973 Chevrolet K-5 Blazer (incl. sheriff and military),
Shuboir - 1975 Chevrolet Chevelle 5-door wagon,
Truck 3500 - 1973 Chevrolet C30 double-cab pickup/tow truck (incl. military),
Valestra - 1975 Chevrolet Nova 3-door hatchback,
Cargoline - 1972 Ford Econoline 2-door panel van/minibus,
Carino - 1971 Ford Pinto 3-door hatchback,
Coupe - 1932 Ford 2-door coupe/convertible,
Cross-Country - 1972 Ford Country Squire 4-door wagon,
Lakefield - 1963 Ford Fairlane 4-door sedan,
S200 - 1965 Ford F-200 single cab pickup truck,
SLT - 1971 Ford LTD 4-door sedan,
Thunderbolt - 1970 Ford Thunderbird 4-door sedan/convertible,
Golden Dawn - Rolls-Royce Silver Shadow 4-door sedan,
Union - 1975 Honda Accord 3-door hatchback.
Chapter III: Aero - Lancia Stratos 2-door coupe/targa,
400 - Volvo 244 4-door sedan,
1900 SV - Fiat 124 Sport Spider 2-door coupe/targa/roadster,
Scepter - 1978 Buick Regal 2-door coupe/T-top/convertible,
Tourer - 1977 Buick Estate 5-door wagon,
W355 - 1965 Kaiser-Jeep M715 (civilian surplus),
Taxi - Checker Maraton 4-door sedan,
Cabrio - 1974 Alfa Romeo Spider 2-door roadster,
XT - Citroen DS21 4-door sedan,
90 - 1967 Oldsmobile 98 4-door sedan,
80 - 1974 Oldsmobile 88 4-door sedan,
Cavalcade - 1973 Oldsmobile Toronado 2-door coupe/convertible.
Sabre Custom - 1975 Oldsmobile Cutlass Supreme 2-door coupe/targa/convertible,
Corporal - 1964 Plymouth Valiant 5-door wagon,
Moire - 1975 Plymouth Gran Fury 4-door sedan (incl. police and taxi),
Southport - 1966 Chrysler Newport 5-door wagon,
3000 Riviera - Ferrari 308 2-door coupe/targa,
4200 Tampa - Ferrari Daytona 2-door coupe/targa/convertible,
DT100 - 1955 Dodge C100 single cab pickup truck,
Sedan - 1965 Imperial LeBaron 4-door sedan/convertible,
Attache - 1966 AMC Ambassador 4-door sedan,
Hare - 1975 AMC Pacer 3-door hatchback,
Berlina - 1963 Maserati Quattroporte sedan,
Perbatto - Lamborghini Countach 2-door coupe/targa,
529e - BMW E12 530i 4-door sedan,
Loire - 1977 Lincoln Versailles 4-door sedan,
Provincial Series VI - 1975 Lincoln Continental Mark IV 2-door coupe/convertible,
Provincial Series VII - 1977 Lincoln Continental Mark V 2-door coupe/convertible,
Boulevard - 1973 Cadillac DeVille 4-door sedan,
Conluenzo (1st gen) - 1959 Cadillac Eldorado 2-door coupe/convertible,
Hearse - 1976 Cadillac Series 75 hearse,
Hollywood - 1977 Cadillac Fleetwood 4-door sedan,
Limousine - 1976 Cadillac Series 75 limousine,
Pilot - Opel Kadett B 3-door wagon,
160 - Datsun 610 5-door wagon,
180 - Datsun 620 2-door pickup,
ST25 - Datsun 240Z 2-door coupe,
Conestoga - 1974 Jeep Wagoneer 4-door SUV,
M-5 - Jeep CJ5 2-door offroader,
Ball - VW Rabbit Mk1 3-door hatchback/convertible,
Model A "Bug" - VW Beetle 2-door sedan/convertible,
Model B "Freerider" - 1966 VW Type 2 panel van/minibus,
Longchamp - 1976 Pontiac Grand Ville 2-door coupe/convertible,
Sarthe (1st gen) - 1970 Pontiac LeMans 2-door coupe/convertible,
Sarthe (2nd gen) - 1976 Pontiac LeMans 4-door sedan (incl. police),
Venus - 1969 Pontiac Catalina 4-door wagon,
Vulture - 1976 Pontiac Firebird 2-door coupe/targa,
627 - 1974 Porsche 911 2-door coupe/targa/convertible.
E240 - Mercedes-Benz W123 4-door sedan,
GE420 - Mercedes-Benz W116 4-door sedan.
GL450 - Mercedes-Benz R107 2-door coupe/targa/roadster.
Lynx - 1976 Stutz Blackhawk 2-door coupe/T-top/convertible,
Compostela - 1968 Chevrolet El Camino 2-door pickup,
Dispatcher 2500 - 1973 Chevrolet Suburban K20 4-door SUV (incl. sheriff),
Executive - 1977 Chevrolet Impala 4-door sedan (incl. police and taxi),
Frigate - 1971 Chevrolet Corvette 2-door coupe/targa/roadster,
Ponderosa - 1973 Chevrolet K-5 Blazer (incl. sheriff),
Shuboir - 1975 Chevrolet Chevelle 5-door wagon,
Truck 3500 - 1973 Chevrolet C30 double-cab pickup/tow truck,
Valestra - 1975 Chevrolet Nova 3-door hatchback,
Cargoline - 1972 Ford Econoline 2-door panel van/minibus,
Carino - 1971 Ford Pinto 3-door hatchback,
Coupe - 1932 Ford 2-door coupe/convertible,
Cross-Country - 1972 Ford Country Squire 4-door wagon,
Lakefield - 1963 Ford Fairlane 4-door sedan
S200 - 1965 Ford F-200 single cab pickup truck,
SLT - 1971 Ford LTD 4-door sedan,
Thunderbolt - 1968 Ford Thunderbird 4-door sedan/convertible,
Trinidad - 1977 Ford Granada 4-door sedan,
Golden Dawn - Rolls-Royce Silver Shadow 4-door sedan,
Regalia - 1974 Toyota Corolla 4-door sedan,
Futura - 1975 Honda Civic 3-door hatchback,
Union - 1975 Honda Accord 3-door hatchback,
Heavy vehicles: Chapter I: B6 - 1977 Volvo F10 semi truck/box truck/flatbed.
12 - 1970 Fiat 343 bus,
6400 - 1963 Fiat 643N semi truck/flatbed/box truck/dump truck,
Chapter II/III: Roader - 1961 Dodge Frank Motor Home,
354 - M35 "Deuce and a half" military/surplus truck,
356 - M809 6x6 military truck,
600 - 1976 Peterbilt 359 semi truck,
Bus - GM New Look bus,
S700 - 1968 Ford F-700 box truck/flatbed/dump truck/armoured truck (incl. SWAT),
T700 - 1968 Ford B-700 bus,
T8 - 1967 Kenworth W900A semi truck,
Warrior - 1971 Winnebago Brave,
Motorbikes: Chapter I: 250 - 1963 Ducati 250,
Crawler - 1968 Ducati Scrambler,
R800 - 1972 Ducati SS 750,
850 Monza - 1976 Moto Guzzi 850 Le Mans,
150 RO - 1971 KTM 175 GS,
T900 - 1973 BMW R90S,
Apina 50 - 1963 Piaggio Vespa 50cc,
Apina 125 - 1968 Piaggio Vespa 125 Primavera,
Highwayman - 1965 Harley-Davidson Electra Glide 1200.
Chapter II/III: 250 - 1963 Ducati 250,
Crawler - 1968 Ducati Scrambler,
R800 - 1972 Ducati SS 750,
850 Monza - 1976 Moto Guzzi 850 Le Mans,
150 RO - 1971 KTM 175 GS,
T900 - 1973 BMW R90S,
500OX - 1975 Yamaha XT500,
S800 - 1972 Suzuki GT750,
Apina 125 - 1968 Piaggio Vespa 125 Primavera,
Cruiser - 1976 Harley-Davidson Softail,
Highwayman - 1965/1974 Harley-Davidson Electra Glide 1200 (incl. police).
Glider - 1974 Honda Goldwing GL 1000,
T90 - 1969 Honda C90,
TX125 - 1973 Honda CR125M,
Boats: Returning from Mafia III (Vindicator and Airboat only in Chapter II and III), plus:
M400 - 1970s medium-sized motorboat (incl. Italian police and coast guard),
U800 - 1960s tugboat,
U900 - 1960s fishing smack,
Aqua Blu - 1969 Riva Aquarama,
2500 - 1970s American racing speedboat.
BC450 - 1976 Kawasaki JS400 jet ski.
Planes (Chapter II/III): A45 Stallion - 1944 NAA P51B Mustang.
300 - 1967 Cessna 172H,
Noter - 1969 Cessna Citation,
S9 Ute - 1967 Piper P-31 Cherokee,
Mosquito 500 - 500cc ultralight aircraft.
running the code below gives me an error that says feature columns are rank 0. my thinking on why i wrote the code as is, is below; please tell me where I am going wrong.
given a csv with many columns, with some of them useless, I only grab the ones I need. train_y is my labels column the rest are feature columns. I then create feature columns to define how they should be used. The columns are created as categorical columns with dictionaries, except for those that are int and float. I wrap them in an indicator column and bundle them in a new list to create the model.
The data train_x is the features and train_y is the labels. These are passed into the input_fn to create a dataset. I use the create a dataset with slices function since i already pulled the data from the csv file.
I print out the dataset to see what is going on and I crash. The dataset is not convertable even though the printout says they are the correct dtype. I cannot figure this out.
from __future__ import absolute_import from __future__ import division from __future__ import print_function import pandas as pd import numpy as np import tensorflow as tf train = pd.read_csv('./vegas2.csv', usecols=['Score', 'Period_of_stay', 'Traveler_type', 'Pool', 'Gym', 'Tennis_court', 'Spa', 'Casino', 'Free_internet', 'Hotel_name', 'Hotel_stars', 'Review_month']) train_x, train_y = train, train.pop('Traveler_type') print("*******************************") print(train_x) print("*******************************") print(train_y) score = tf.feature_column.numeric_column( 'Score', [1, 2, 3, 4, 5] ) stay_period = tf.feature_column.categorical_column_with_vocabulary_list( 'Period_of_stay', ['Dec-Feb', 'Mar-May', 'Jun-Aug', 'Sep-Nov'] ) traveler_type = tf.feature_column.categorical_column_with_vocabulary_list( 'Traveler_type', ['Friends', 'Business', 'Families', 'Couples', 'Solo']) pool = tf.feature_column.categorical_column_with_vocabulary_list( 'Pool', ['YES', 'NO']) gym = tf.feature_column.categorical_column_with_vocabulary_list( 'Gym', ['YES', 'NO']) tennis_court = tf.feature_column.categorical_column_with_vocabulary_list( 'Tennis_court', ['YES', 'NO']) spa = tf.feature_column.categorical_column_with_vocabulary_list( 'Spa', ['YES', 'NO']) casino = tf.feature_column.categorical_column_with_vocabulary_list( 'Casino', ['YES', 'NO']) free_internet = tf.feature_column.categorical_column_with_vocabulary_list( 'Free_internet', ['YES', 'NO']) hotel_name = tf.feature_column.categorical_column_with_vocabulary_list( 'Hotel_name', ['Circus Circus Hotel & Casino Las Vegas', 'Excalibur Hotel & Casino', 'Tuscany Las Vegas Suites & Casino', 'Hilton Grand Vacations at the Flamingo', 'Monte Carlo Resort&Casino', 'Treasure Island- TI Hotel & Casino', 'Tropicana Las Vegas - A Double Tree by Hilton Hotel', 'Paris Las Vegas', 'The Westin las Vegas Hotel Casino & Spa', 'Caesars Palace', 'The Cosmopolitan Las Vegas', 'The Palazzo Resort Hotel Casino', 'Wynn Las Vegas', 'Trump International Hotel Las Vegas', 'Encore at wynn Las Vegas', 'The Venetian Las Vegas Hotel', 'Bellagio Las Vegas',"Marriott's Grand Chateau", 'Wyndham Grand Desert', 'The Cromwell'] ) hotel_stars = tf.feature_column.numeric_column( 'Hotel_stars', [1, 2, 3, 4, 5]) review_month = tf.feature_column.categorical_column_with_vocabulary_list( 'Review_month', ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'] ) base_columns = [score, traveler_type, stay_period, pool, gym, tennis_court, spa, casino, free_internet, hotel_name, hotel_stars, review_month] columns = [] for i in base_columns: columns.append(tf.feature_column.indicator_column(i)) def input_fn(features, labels, batch_size): dataset = tf.data.Dataset.from_tensor_slices((dict(features), labels)) print(dataset) return dataset classifier = tf.estimator.DNNClassifier( feature_columns = columns, hidden_units = [10, 10], n_classes = 5 ) classifier.train( input_fn =lambda: input_fn(train_x, train_y, 25) ) error output
WARNING:tensorflow:Using temporary folder as model directory: /tmp/tmp1ddsrs2t Traceback (most recent call last): File "testCSVGrab.py", line 104, in input_fn =lambda: input_fn(train_x, train_y, 25) File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/estimatoestimator.py", line 352, in train loss = self._train_model(input_fn, hooks, saving_listeners) File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/estimatoestimator.py", line 812, in _train_model features, labels, model_fn_lib.ModeKeys.TRAIN, self.config) File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/estimatoestimator.py", line 793, in _call_model_fn model_fn_results = self._model_fn(features=features, **kwargs) File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/estimatocanned/dnn.py", line 354, in _model_fn config=config) File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/estimatocanned/dnn.py", line 185, in _dnn_model_fn logits = logit_fn(features=features, mode=mode) File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/estimatocanned/dnn.py", line 91, in dnn_logit_fn features=features, feature_columns=feature_columns) File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/feature_column/feature_column.py", line 273, in input_layer trainable, cols_to_vars) File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/feature_column/feature_column.py", line 198, in _internal_input_layer trainable=trainable) File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/feature_column/feature_column.py", line 2973, in _get_dense_tensor return inputs.get(self) File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/feature_column/feature_column.py", line 1883, in get transformed = column._transform_feature(self) # pylint: disable=protected-access File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/feature_column/feature_column.py", line 2916, in _transform_feature id_weight_pair = self.categorical_column._get_sparse_tensors(inputs) # pylint: disable=protected-access File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/feature_column/feature_column.py", line 2559, in _get_sparse_tensors return _CategoricalColumn.IdWeightPair(inputs.get(self), None) File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/feature_column/feature_column.py", line 1883, in get transformed = column._transform_feature(self) # pylint: disable=protected-access File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/feature_column/feature_column.py", line 2527, in _transform_feature input_tensor = _to_sparse_input(inputs.get(self.key)) File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/feature_column/feature_column.py", line 1870, in get feature_tensor = self._get_raw_feature_as_tensor(key) File "/home/guak/tensorFlow/lib/python3.5/site-packages/tensorflow/python/feature_column/feature_column.py", line 1924, in _get_raw_feature_as_tensor key, feature_tensor)) ValueError: Feature (key: Casino) cannot have rank 0. Give: Tensor("IteratorGetNext:0", shape=(), dtype=string)
forgot to add sample data
5.0,Dec-Feb,Friends,NO,YES,NO,NO,YES,YES,Circus Circus Hotel & Casino Las Vegas,3.0,January 3.0,Dec-Feb,Business,NO,YES,NO,NO,YES,YES,Circus Circus Hotel & Casino Las Vegas,3.0,January 4.0,Dec-Feb,Families,NO,YES,NO,NO,YES,YES,Circus Circus Hotel & Casino Las Vegas,3.0,December 2.0,Dec-Feb,Couples,NO,YES,NO,NO,YES,YES,Circus Circus Hotel & Casino Las Vegas,3.0,December 4.0,Dec-Feb,Couples,YES,YES,NO,YES,YES,YES,Excalibur Hotel & Casino,3.0,January 4.0,Dec-Feb,Business,YES,YES,NO,YES,YES,YES,Excalibur Hotel & Casino,3.0,January 5.0,Dec-Feb,Couples,YES,YES,NO,YES,YES,YES,Excalibur Hotel & Casino,3.0,February 3.0,Dec-Feb,Business,YES,YES,NO,YES,YES,YES,Excalibur Hotel & Casino,3.0,February
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